{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chapter 3: From Data to Networks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Configure plotting in Jupyter\n",
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.rcParams.update({\n",
    "    'figure.figsize': (7.5, 7.5),\n",
    "    'axes.spines.right': False,\n",
    "    'axes.spines.left': False,\n",
    "    'axes.spines.top': False,\n",
    "    'axes.spines.bottom': False})\n",
    "# Seed random number generator\n",
    "from numpy import random as nprand\n",
    "import random\n",
    "seed = hash(\"Network Science in Python\") % 2**32\n",
    "nprand.seed(seed)\n",
    "random.seed(seed)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reading and Writing Network Files\n",
    "### Edge list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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TTz9h27ZtiIiIgKGhodDlUDXhtCQR6azbt2+je/fu+Omnn+Dp6Sl0OVQxbCghInqR3Nxc\n+Pr6YunSpQw2EeLIjYh0jkqlwtChQ1G/fn1s3rxZ6HKocthQQkT0PMuXL0dqair2798vdClUQxhu\nRKRTTpw4gY0bNyIiIgJGRkZCl0M1hNOSRKQz7t69iy5duuDHH39E165dhS6HqoYNJURET+Xn58PX\n1xeLFi1isOkAjtyISPTUajVGjhwJU1NTbNu2DRJJhX75J83EhhIiIgBYuXIl/vrrL4SGhjLYdATD\njYhE7eTJk1izZg3Cw8Mhk8mELodqCacliUi07t+/j86dO+P777+Hl5eX0OVQ9ajQ0JvhRkSiVFhY\niC5duuCDDz7A9OnThS6Hqg/DjYh0k1qthp+fH/T19bFjxw6us4kLG0qISDetXbsWMTExuHDhAoNN\nR3HkRkSicvr0aYwZMwZhYWFwdHQUuhyqftzETUS6JSEhAWPGjMGePXsYbDqO4UZEolBUVIQhQ4bg\nk08+wdtvvy10OSQwTksSkdZTq9Xw9/dHaWkp9u7dy3U2cWNDCRHphg0bNiAqKgoXL15ksBEAjtyI\nSMudO3cOw4cPx59//olmzZoJXQ7VPDaUEJG4JSUlYdSoUdi5cyeDjcphuBGRViouLsbQoUMxffp0\n9O3bV+hySMNwWpKItI5arcaECROQm5uL77//nutsuoUNJUQkTps3b8alS5cQFhbGYKPn4siNiLTK\nxYsX4evriwsXLqBFixZCl0O1jw0lRCQuKSkpGDFiBLZv385go5diuBGRVigtLcWwYcMwefJkDBw4\nUOhySMNxWpKItMKHH36Ihw8f4ocffoCeHn8v12FsKCEicdi2bRvOnDmD8PBwBhtVCEduRKTRwsPD\n4ePjg3PnzsHFxUXockh4bCghIu2WlpaGYcOGYcuWLQw2qhSO3IhII8nlcrz99tvw9vbG4sWLhS6H\nNEeFRm4MNyLSSNOnT8e9e/dw7NgxrrPRs9hQQkTaaceOHfjll18QERHBYKMq4ciNiDTK5cuX0a9f\nP4SEhMDNzU3ockjzsKGEiLRLeno6hg4diuDgYAYbvRaO3IhIIygUCvTp0weenp5YtmyZ0OWQ5mJD\nCRFpj8DAQERHR+Pnn3+Gvr6+0OWQ5mJDCRFph7179+LIkSOIiIhgsFG14MiNiAQVFRWF3r1749Sp\nU2jbtq3Q5ZDmY0MJEWm2zMxMDBkyBOvXr2ewUbXiyI2IakxGfgkOXU5CbGoucosVqCuTwsWuLoZ3\naARzYyn69++Pdu3aYeXKlUKXStqDDSVEJIxriTnYEHIXZ+PSAQAlClXZczKpHtQArOWPIIk5iZDD\nOyCVcvmfKozhRkS1b3dYPJaeiEWxQomX/vWiUkFmKMXnA1vBz9Oxtsoj7cc1NyKqPIlEgrt375Z7\nbOHChfDz83vla3eHxWPq5IlIOfXdy4MNAPT0UKxQYemJGOwOi696wUTPwXAjompxLTEHS0/EQqmq\n3ARPkVyFpSdicT0pp4YqI13EcCOiSgkJCUGjRo2wbNkyWFtbw9HREXv27MGGkLtIj/gZBbdCkBt2\nGA++HoZHBxcBAOQZiUjd8xkerBmJlK1TUHjn0pPHc1LxYM1IFMnl2BhyFxMnTkT9+vXL3uu9997D\n2rVrAQDe3t6YN28eunbtCjMzM/Tp0wcZGRm1/wGQVmC4EVGlpaamIiMjA8nJydixYwcmTZqE3/+8\nCtP2/WDi6o26nkPROPAQ6g9fALVSgUeHFsO4qTscpu+GRa/JyDi2CvLMJBiY20HPqA5KUu/jzO10\nnAk5C1NTU8TExAAAzp49Cy8vr7L33bt3L7Zv345Hjx6htLQUq1atEuojIA3HcCOiKvniiy9gZGQE\nLy8vuHTyQt6tc889riQlFip5Eep2HgaJvgGMHdvBuHlHFNw6CwCQObRGyYMbUOZnIb9EgWHDhuHs\n2bP466+/kJubi3bt2pWda9y4cWjZsiWMjY0xYsQIREVF1crPStqH/bdEVI6+vj7kcnm5x+RyOQwM\nDMq+t7CwgImJyT8HmFqjJDkDps85nzI/C1IzG0gk//wuLa1XH8r8TACAUePWKLpzCY/NrGHXoj28\nvb2xa9cuyGQydO/evdz93Ozs7Mq+rlOnDvLz81/zpyWx4siNiMpp3Lgx4uPjyz32119/oUmTJmXf\nZ2dno6CgoOz7rEcPoW9q+eQbSflObX1TSyjy0qFW/7PXTZGbDn1TKwB/j9wSo1H84AYsndqjW7du\nuHDhwr+mJIkqg+FGROWMHDkSS5YsQVJSElQqFf744w8cO3YMw4YNK3fcggULUFpaitDQUCRdOw8T\nl24AAH0TcyhyUsuOM7J3hp7UCLlhh6FWKlCccB1Fd8Nh4toDAGBg2RASAyMURJ9Bi7adULduXdja\n2uLw4cMMN6oyhhsRlTN//nx06dIF3bp1g4WFBYKCgrBnzx60bt267Bg7OztYWFjA3t4eY8eOhV/g\nFzCp3xgAYNq2N+QZD/BgzUg8OrwEEn0D2Aybj6L7l5H4zRhkndwE64EzYGDlUHY+I4fWkBrXRcc2\nLQAAXl5eUKvVcHd3r90fnkSDVyghokoJCQmBn58fkpKSADy5e/bsRcvwu3EPSKSGVT6vkVQPFz/t\nCStTo+oqlcSJVyghoppTXFyMr776Cq1atUIdPSXecrH93+W2CpNIgLecbRhsVG3YLUlElaJWq1FU\nVIRWrVqhbdu2uHDhApydnXEtMQeXtoShSK6s9DllUn1M8XaqgWpJV3Fakogq7OLFi5g5cybkcjm+\n/vpreHt7l3v+yUWTY1AkVz3/BM9hbKCHuQN48WSqsArND3DkRkSvdP/+fXz22Wf4888/sXTpUvj5\n+ZXbf/bU04CqyF0BJJInI7a5A1wYbFTtuOZGRC+UnZ2NWbNmoWPHjmjbti1u376N999//7nB9pSf\npyMOTPJEX1dbQCmHoX75X7RlUj0YSfXQ19UWByZ5MtioRnBakoj+RS6XY9OmTViyZAl8fX2xePHi\nclcHqYiMjAy0aP0Glh84g9up+cgtlqOuzAAuDcwwzL0Rm0eoqjgtSUSVo1arcfToUQQFBaFp06Y4\ndeoU2rRpU6VzRUREwN2tJQK82ChCtY/hRkQAgMuXLyMwMBAZGRn45ptv0K9fv9c6X0REBDp16lRN\n1RFVDtfciHRcYmIi3n//ffj4+GDMmDGIiop67WADgPDwcHTs2LEaKiSqPIYbkY7Ky8vD559/jvbt\n26Nx48aIi4vDpEmTIJW+/oSOWq3myI0ExXAj0jEKhQL//e9/0bJlSyQkJCAqKgpLliyBmZlZtb3H\ngwcPoKenh4YNG1bbOYkqg2tuRDrkt99+w6xZs2BpaYljx47Bw8OjRt7n6ahNUtXrcRG9JoYbkQ64\nefMmZs2ahfv37+Orr77Cu+++W6PBEx4ezilJEhSnJYlELDU1FZMmTULPnj0xYMAA3Lx5E76+vjU+\nomIzCQmN4UYkQoWFhViyZAnc3NxgZmaG27dvY/r06TA0rPotaSpKqVTiypUrNTblSVQRnJYkEhGV\nSoXdu3dj7ty58PT0RHh4OJo3b16rNcTGxsLW1haWlpa1+r5Ez2K4EYlESEgIAgMDYWBggP3796Nr\n166C1MEtAKQJGG5EWi4uLg5BQUGIiorCl19+iZEjRwrapcj1NtIEXHMj0lKZmZmYPn06unTpgi5d\nuiA2NhajRo0SvP2eIzfSBAw3Ii1TUlKCVatWwcXFBUqlEjExMQgKCoJMJhO6NJSUlCA6Ohrt27cX\nuhTScZyWJNISarUahw4dwmeffQZXV1ecO3cOrVq1Erqscq5duwZnZ2fUqVNH6FJIxzHciLRAWFgY\nAgMDUVhYiC1btqBnz55Cl/RcXG8jTcFpSSIN9tdff2HUqFEYNmwYJkyYgMjISI0NNoBXJiHNwXAj\n0kA5OTkICgqCh4cHWrVqhdu3b2PcuHHQ19cXurSXYjMJaQqGG5EGkcvl+Pbbb+Hs7IzMzEzcuHED\nCxYsgImJidClvdLjx4+RmJgIV1dXoUsh4pobkSZQq9U4duwYgoKC4ODggJMnT6Jdu3ZCl1Uply9f\nxhtvvFEt94Mjel38U0gksKtXryIwMBCpqalYvXo1+vfvL/hetapgMwlpEk5LEgkkOTkZ/v7+6N+/\nP0aMGIHr169jwIABWhlsANfbSLMw3IhqWX5+PubPn4+2bduiQYMGiIuLQ0BAgNZP53HkRpqE4UZU\nS5RKJbZt2wZnZ2fcu3cPV65cwfLly1G3bl2hS3ttDx8+RGFhIZo1ayZ0KUQAuOZGVCt+//13zJo1\nC2ZmZvjxxx9FN30XERGBjh07au2UKokPw42oBkVHR+OTTz5BXFwcVqxYgSFDhogyALh5mzQNpyWJ\nakBaWhoCAgLg7e2N3r1749atWxg6dKgogw1gMwlpHoYbUTUqKirC8uXL4ebmBmNjY9y+fRszZsyA\noaGh0KXVGLVaXTYtSaQpOC1JVA1UKhX27duHOXPmwMPDA2FhYXBychK6rFpx7949mJmZwdbWVuhS\niMow3IheU2hoKAIDAwEAu3fvRvfu3QWuqHZxCwBpIoYbURXduXMHn376KS5fvoxly5Zh9OjR0NPT\nvZl+rreRJtK9/xOJXlNWVhZmzJiBzp07o2PHjoiNjcXYsWN1MtgAjtxIM+nm/41EVVBaWoo1a9bA\n2dkZxcXFiI6OxuzZs2FsbCx0aYKRy+W4du0aOnToIHQpROVwWpLoFdRqNX744Qd8+umnaNmyJUJC\nQuDm5iZ0WRohOjoajRs3FsVVVkhcGG5ELxEeHo7AwEA8fvwYmzZtQu/evYUuSaNw8zZpKk5LEj1H\nQkICxo4dC19fX/j7++Pq1asMtufg/jbSVAw3omfk5uZi9uzZcHd3h5OTE+Li4jB+/Hjo6+sLXZpG\n4siNNJVOTUtm5Jfg0OUkxKbmIrdYgboyKVzs6mJ4h0awMjUSujwSkEKhwJYtW7Bo0SL0798f169f\nR8OGDYUuS6MVFBTg7t27aNu2rdClEP2LToTbtcQcbAi5i7Nx6QCAEoWq7DmZNBVr/oiDt7MNpng5\noZ2DuVBlkgDUajVOnDiBTz75BHZ2dvjll1/wxhtvCF2WVrh69Src3NxgZMRfDEnziD7cdofFY+mJ\nWBQrlFCryz+XH30GaTdOw3bUFzh5Kw3n4jIwd4AL/DwdBamVate1a9cQGBiIpKQkrFy5Ej4+PqK9\nsHFN4OZt0mQau+bm6OgIY2NjmJqawtbWFv7+/sjPz6/UOZ4EWwyK5P8ONgAwdXsLtqO+AACo1UCR\nXImlJ2KwOyy+Gn4C0lQpKSkYP348+vTpg8GDB+PGjRsYNGgQg62SuHmbNJnGhhsAHDt2DPn5+bhy\n5QoiIyOxZMmScs+r1WqoVKrnvvZaYg6WnohFkfz5z79IkVyFpSdicT0pp8p1k2YqKCjAokWL0KZN\nG1hbWyMuLg5Tp06FgYGB0KVpJY7cSJNpdLg91bBhQ/Tv3x83b96Et7c35s6di65du6JOnTq4f/8+\nUlJS8M4778DS0hJOTk7YsmULNoTcRX72IzxYNQTKoryyc5Wm3kPiujFQKxXIv/4HUncHlT2X8KUP\n8q6ewN1vP0BHZwdMnToV6meGfFu2bEGrVq1gZmYGV1dXXLlyBcCTkcDQoUNhY2ODpk2b4ptvvqm9\nD0cHZOSXIPjsPXx84Co+2BGBjw9cRfDZe8jML6nQ65VKJbZv3w5nZ2fExMQgMjISK1asQL169Wq4\ncvHKzMxEeno6nJ2dhS6F6Lm0Ys0tMTERJ06cwJAhQxAaGopdu3bhl19+gbOzM9RqNd5++220bt0a\nKSkpiI2NRa9evWHcbyb0HdrC0N4FhbcvwKx9PwBAwa2zqOPcBRL95//oRXcj0OD/1kCqLMaBvbMw\naNAg9OvXDwcPHsTChQtx5MgReHh44N69ezAwMIBKpcKgQYPw7rvvYt++fUhKSkKvXr3g7OyMvn37\n1ubHJDrV0Qh06tQpBAYGok6dOjh06BA8PT1rpXaxi4iIQIcOHXT2epqk+TT6T6avry/Mzc3RrVs3\neHl5Yc6cOQAAf39/uLm5QSqVIjU1FRcuXMCKFSsgk8nQvn17ePQditwbpwEAJm5eKLh1DsCTacyC\nmHMwcfV+4XvW9RwGPZkpDOvVR5M2HREVFQUA2Lp1K4KCgtCxY0dIJBI4OTmhSZMmiIiIQHp6OubP\nnw9DQ0M0a9YMEydOxP79+2tHtWqXAAAdOklEQVT2wxG53WHxGLUlDL/HpKFEoSoXbABQ/PdjJ2+l\nYdSWsH+tk8bGxmLQoEGYOHEi5s6diwsXLjDYqhE3b5Om0+iR25EjR9CrV69/Pe7g4FD2dUpKCiwt\nLWFmZlb2WKmxFUpzLwEA6jh3Rfbvm6HIz4IiKxmQSGDk8OLrAuqbWgB48penvEiB+Ph4JCYmIiEh\nAY6Ojv86PiEhASkpKTA3/2fkoFQqde6eXtXpn0agV6+XPtsIBAB9m5tg4cKFCA4OxoQJE3Do0CG2\nqteA8PBw+Pv7C10G0QtpdLi9yLNdbfb29sjKykJeXl5ZwGWmpUDf1AoAoC8zhczxDRTGhEKemQiT\nVj0q3BWXnpWNQ4cO4fjx40hLS8PgwYNhZGQEMzMzmJqawszMDGq1GkZGRujVqxfMzMzKPbd+/fpy\n3z/79dN/GxkZaWWX3vnz5xEUFITo6Gjo6+ujVatWWLt2LaKjo7F161acP3++Sud9nUaghUdvYOaP\nizC6b1c0bNgQw4cPZ7DVALVajYiICGzYsEHoUoheSCvD7VkODg7o0qULZs+ejVWrViEuLg53Qn+C\nWf+ZZceYuHkhN+wwFI8fwXb00gqfu1GDBhgyoi+WLFmCgwcPYubMmdi/fz+cnJwQHR2NkpIS1KlT\nB+PHj4eRkRE8PT1RVFSEv/76CykpKTA1NUV+fj7y8vLK/v3s1/n5+VAqlf8KvBf9uyLPmZiY1Pg6\nSG5uLnx8fLBp0yaMGDECpaWlCA0NrXCQKJXKF17OakPIXRQrlFWqS6EGen+8CusCvHH06NEqnYNe\nLTExEUD5GRQiTaP14QYA+/btQ0BAAOzt7WFhYQHfDz7GZRP3snUaY6c3kfnLekjr2sDQtlmFzimT\n6qFenX9axIcPH47MzEx88MEHSE5OhqOjI3bt2oU33ngD586dQ2BgIBYsWICSkhI4OztjyZIlz51S\n/V9yufyFwfe/ofjgwYOXBmVeXh4KCwtRp06dSofiy57731b5uLg4AMDo0aOffL7GxujTpw9iYmIQ\nEBAAuVwOU1NTSKVS5OTkwN/fH8bGxkhISMDZs2dx9OhRlJSU4PPPP8e9e/dQr149jB8/HtNmzcbZ\nuHSkH1sNQxtH1H1zCBR5GUje4A/L3gEw6+ADefZDpO6YgUYf7YWqKA+ZP69FcdItSCQSGFg3RsT/\nfVXWRRkVFYWZM2ciISEB/fr1w44dOyCTyQA86XxdsWIFsrKy0K1bNwQHB8Pe3h7Ak5mBdevWYe3a\ntcjNzcW4ceOwYsUKNk/87ekWAG2ccSDdIVE/b3fzi1XqYKFk5Jeg64rT/2pCqAwjqR4uftpT6645\nqVKpUFBQ8MqgrMxzUqm0XPAZGxsjKioKDRo0QIsWLeDo6AgbGxuYmpri1q1bCA8Px7Jly8qO/+qr\nr3DmzBns27cP3t7e0NfXx6VLl2BlZQU3NzfcvHkTvXv3xuD/LMKZkibIvPwrCuP+RP3hC1AQHYKc\n0N0wtGsBG99PkX/tJArvXEL9YfOQHfIdVMX5sOwdAAAoSYlFPcc2mNnHGcvffxv169fHkSNHIJPJ\n0LVrV3z00UcICAjA6dOnMWLECJw8eRJubm6YNWsWrl27hnPnnjQeSSQSeHt74/Dhw8jPz0evXr0Q\nFBSECRMmCPmfVmN8+umnMDU1xbx584QuhXRThX6rEsXI7X9ZmxrBq6UNfo9Je+6VSV5FIgHecrbR\numADAD09vbJRV3VQq9UoLi7+V+DdunULe/bswZUrV3DmzBm0bNkSffr0QVpaGnJzc3HgwIGy42/d\nugUAGDduHPLy8qBQKGBqalouMA0NDXH4+30wGRgEo8ZtkH16G9RqFYoTb6Lum0Px+OKT7tPixJuQ\nNW4NAJDoSaHMz4Yi9xEMLOwhc2iNEqUasQ+f7GucPn162Whs0KBBZZ2ve/bswQcffAB3d3cAwPLl\ny2FhYYH4+PiypqFPP/0UlpaWsLS0xMcff4x9+/Yx3P4WERGBTz/9VOgyiF5KtPMsU72dIJNW7TYl\nMqk+png7VXNF2kkikcDY2Bg2NjZo1qwZ2rZti65du2LixIkICQlBVlYWoqOjYWJigkePHsHPzw8t\nWrTAoUOH8Ntvv+HChQt49913MX36dKSnp6O4uBhFRUU4ePAgGjdujLS0NMTExCAtLQ2G0id/HA0s\nGkBiKENp2n2UJN2CsVNH6JtaQp6ZhOIHN2HUuA0AoO6bQyC1aIBH++chedN4PP7zIAAgt1gOALCz\nsyv7OerUqVN2+baUlBQ0adKk7DlTU1NYWVkhOTm57LFn15OaNGmClJSUGvqEtYtSqURkZCQ8PDyE\nLoXopUQbbu0czDF3gAuMDSr3Ixob6GHuABe0bcS7A1SUi4sL/P39cfPmzReuwzz7uIGBAQICAjB8\n+HCkpKQgPz8fU6ZMgZmJcdkxRg6tUXj7AtRKOaRm1pA5tEH+zVNQleTDsH5TAICeUR1Yvj0BDT/c\nBpth85AbcQRF8VGoK3v55bTs7e2RkJBQ9n1BQQEyMzPL3eLmadMEADx48KBsBKjrbt++jfr168PK\nykroUoheSrThBgB+no6YO6AVjA308aq1b4kEMDbQx9wBrXhXgFeIjY3F119/jaSkJABPgmDfvn3w\n9PSEra0tkpKSUFpa+tJz5OXlwdLSEjKZDOHh4di7dy/qyQxg9PfoTda4DfIuH4eRw5MpSKO/v5c1\ncoVE78mIvPBuOOTZKVCr1dAzMoFEogcjqT5cGrx8Snb06NHYvn07oqKiUFJSgjlz5uDNN98st49x\n5cqVyM7ORmJiItatW4eRI0dW9eMSFW7eJm0hyjW3Z/l5OqJtI3NsDLmLM7fTIcGTDdpPyaR6UOPJ\nGtsUbyeO2CrAzMwMly5dwurVq5GTkwNzc3P4+Phg5cqVkMlkcHNzg52dHfT09JCRkfHcc2zcuBGB\ngYGYNm0avLy8MGLECKRlZOLp5aplDq2hLi2C7O9wkzVyhVpeUhZ2AKDISkHWyWCoih5DT2YKU/cB\nMHZsh2HujbD8JfX36tULX3zxBYYOHYrs7Gx06dLlX1eUeffdd9GhQwc8fvwY/v7+GD9+/Ot8ZKLB\nO2+TthBlt+SLZOaX4NCVJMQ+zENusRx1ZQZwaWCGYe68E7emmLQr8rUagfq62iLY7/XWgyQSCe7c\nuQMnJ667/q9OnTph9erV6Natm9ClkO6qULekToUbab5riTkYtSUMRfLKb+Q2NtDHgUmerz36Zrg9\nX0lJCSwsLJCeng4TExOhyyHdVaFwE/WaG2kfNgJpruvXr6Nly5YMNtIKol9zI+3ztKFn6YlYFCue\nfxf1p9QqFYwM9Kq1EaiSsxk6g3feJm3CkRtpJD9PRxyY5Im+rrYwkupBJi3/R1Um1YORVA9tLFXQ\nO/0NRrizVb+m8c7bpE245kYa72WNQJYmhvDx8UG3bt0we/ZsoUsVNVdXV+zduxft27cXuhTSbWwo\nId0QHx8PDw8PhIeHo1mzil0YmyonNzcX9vb2yM7O/teFtIlqGRtKSDc4Ojrik08+wdSpU7leVkMu\nX76Mdu3aMdhIazDcSBRmzpyJpKQkHDx4UOhSRImbt0nbMNxIFAwMDLB582bMmDEDjx8/Froc0eFl\nt0jbcM2NRGXSpEkwNDTEt99+K3QpotK4cWOcPn2aG9tJE7ChhHRPVlYW3NzccPToUU6jVZPU1FS4\nuroiMzOTd98mTcCGEtI9lpaWWLlyJSZPngyFQiF0OaLwdEqSwUbahOFGojN27FhYWVlh/fr1Qpci\nCty8TdqI4UaiI5FIsHHjRixdurTcTUepanjZLdJGXHMj0Vq0aBGioqLw448/Cl2K1lKr1bC2tsbN\nmzfRoEEDocshArjmRrrus88+w61bt/DTTz8JXYrWun//PurUqcNgI63DcCPRMjIyQnBwMP7zn/8g\nPz9f6HK0Ejdvk7ZiuJGovfXWW/Dy8sLChQuFLkUrcfM2aSuGG4neqlWrsHPnTly7dk3oUrQOR26k\nrdhQQjph69at2Lp1Ky5cuAB9fX2hy9EKCoUC5ubmSE5ORr169YQuh+gpNpQQPfXBBx9AKpXiv//9\nr9ClaI3o6Gg4ODgw2EgrMdxIJ+jp6WHz5s2YP38+UlNThS5HK3DzNmkzhhvpDDc3N0yYMAEzZ84U\nuhStwM3bpM0YbqRT5s2bh7CwMJw8eVLoUjQem0lIm7GhhHTOL7/8gv/85z+4ceMGjI2NhS5HIxUW\nFsLa2hrZ2dkwMjISuhyiZ7GhhOh5+vfvD3d3dyxbtkzoUjTW1atX4ebmxmAjrcVwI520du1aBAcH\nIyYmRuhSNBI3b5O2Y7iRTrK3t8eCBQvw4YcfopJT8zqB622k7RhupLM+/PBDFBQUYMeOHUKXonE4\nciNtx4YS0mlXrlzBgAEDcPPmTVhbWwtdjkbIysqCo6MjsrOzeTUX0kRsKCF6FXd3d4wePRpBQUFC\nl6IxIiMj4e7uzmAjrcZwI523ePFi/PHHHzh37pzQpWgErreRGDDcSOeZmZlh3bp1CAgIQGlpqdDl\nCI7hRmLAcCMC4OvrCycnJ6xcuVLoUgSlVqt52S0SBTaUEP0tISEBHTp0wKVLl9C8eXOhyxFEYmIi\nPDw8kJqaComkQuv2RLWNDSVEldGkSRN89tlnmDJlis7ufXu6BYDBRtqO4Ub0jI8++ggPHz7EgQMH\nhC5FEFxvI7FguBE9w8DAAJs3b8bMmTORk5MjdDm1jpu3SSy45kb0HAEBAdDT08PGjRuFLqXWqFQq\nWFhY4N69e9zQTpqMa25EVbV8+XIcOXIEly5dErqUWhMXFwcrKysGG4kCw43oOSwsLLBq1SpMnjwZ\nCoVC6HJqBdfbSEwYbkQvMHr0aNjY2GDdunVCl1IruL+NxIThRvQCEokEmzZtwvLly/HgwQOhy6lx\nERERHLmRaLChhOgVvvjiC0RGRuLo0aNCl1JjSktLYWFhgUePHsHExETocohehg0lRNUhKCgIt2/f\nxpEjR4QupcZcv34dzZs3Z7CRaDDciF7ByMgIwcHBmD59OvLy8oQup0awmYTEhuFGVAHe3t7o2bMn\nFixYIHQpNYKbt0lsGG5EFbRq1Srs2bMHV69eFbqUaseRG4kNG0qIKuH//b//h+DgYPz555+iuVN1\nXl4e7OzskJOTAwMDA6HLIXoVNpQQVbdx48ZBJpMhODhY6FKqzeXLl9GuXTsGG4kKw42oEiQSCYKD\ng7Fw4UKkpKQIXU614OZtEiOGG1Elubq6YtKkSZgxY4bQpVQLbt4mMWK4EVXB559/jsjISPz6669C\nl/La2ExCYsRwI6oCY2NjbNy4EVOmTEFhYaHQ5VRZWloacnNz4eTkJHQpRNWK4UZURX379kWnTp2w\nZMkSoUupsqf72ySSCjWgEWkNhhvRa1izZg22bNmC6OhooUupEm7eJrFiuBG9hgYNGmDRokUICAiA\nSqUSupxK43obiRXDjeg1TZ48GaWlpdi+fbvQpVSKWq3myI1Ei1coIaoGUVFR6Nu3L27evAkbGxuh\ny6mQ+/fvo0ePHkhKShK6FKLK4BVKiGpL+/bt4efnh1mzZgldSoVx8zaJGcONqJosWrQIISEhOHPm\njNClVAg3b5OYMdyIqompqSm++eYbBAQEoKSkROhyXokjNxIzrrkRVTNfX1+4u7tj/vz5QpfyQgqF\nAubm5khKSoK5ubnQ5RBVBtfciISwfv16fPPNN7hz547QpbzQrVu30KhRIwYbiRbDjaiaOTg4YM6c\nOfjwww9RyZmRWsMtACR2DDeiGjB9+nRkZmZi7969QpfyXNy8TWLHcCOqAVKpFJs3b8asWbOQnZ0t\ndDn/wpEbiR0bSohq0NSpU6FQKLB582ahSylTVFQEKysrZGVlQSaTCV0OUWWxoYRIaMuWLcPx48dx\n8eJFoUspc/XqVbRq1YrBRqLGcCOqQfXq1cPq1asxefJkyOVyocsBwM3bpBsYbkQ1bMSIEWjYsCHW\nrFkjdCkAuHmbdAPX3Ihqwf3799GpUydERkbC0dFR0FpatmyJH374Aa1btxa0DqIqqtCaG8ONqJYs\nW7YMFy9exLFjxwS783V2djYaN26MnJwc6OvrC1ID0WtiQwmRJpk1axb++usv/PDDD4LVEBkZCXd3\ndwYbiR7DjaiWGBoaIjg4GB9//DFyc3MFqYGbt0lXMNyIalH37t3Rp08fzJs3T5D35+Zt0hVccyOq\nZZmZmXBzc8PPP/+MDh061Nr7qtVq2Nvb488//xS8qYXoNXDNjUgTWVlZYcWKFZg8eTKUSmWtvW9y\ncjIUCgWaNGlSa+9JJBSGG5EA3n//fZiZmWHDhg219p5PN28L1alJVJsYbkQCkEgk2LRpExYvXozk\n5ORaeU9u3iZdwnAjEoiLiwumTJmCjz76qFbej5fdIl3ChhIiARUXF6NNmzZYu3YtBg4cWGPvo1Kp\nYGlpiTt37sDGxqbG3oeoFrChhEjTyWQybNq0CdOmTUNBQUGNvc+dO3dgYWHBYCOdwXAjElivXr3Q\npUsXLF68uMbeg5u3Sdcw3Ig0wOrVq7F9+3bcuHGjRs7PzdukaxhuRBrA1tYWX3zxBSZPngyVSlXt\n5+fIjXQNw41IQ0ycOBEAsHXr1mo9b2lpKa5fvw53d/dqPS+RJmO4EWkIPT09BAcH4/PPP0daWlq1\nnffGjRto3rw5TE1Nq+2cRJqO4UakQdq2bQt/f38EBgZW2zm5eZt0EcONSMMsWLAA58+fxx9//FEt\n5+PmbdJFDDciDWNiYoJvv/0WU6ZMQXFx8WufjyM30kW8QgmRhho6dChat26NRYsWVfkceXl5sLOz\nQ3Z2NgwNDauxOiLB8AolRNps3bp12LhxI27fvl3lc1y5cgVt2rRhsJHOYbgRaahGjRrh888/R0BA\nACo5w1KG622kqxhuRBps2rRpyM3Nxa5du6r0em7eJl3FNTciDRcZGQkfHx9ER0fDysqqUq91dHTE\nb7/9Bmdn5xqqjqjWVWjNjeFGpAWmT5+OwsLCSl295NGjR2jZsiWysrKgp8dJGhINNpQQicWSJUvw\n66+/IjQ0tMKviYiIgIeHB4ONdBL/1BNpgbp162Lt2rUICAhAaWlphV7DZhLSZQw3Ii0xdOhQODo6\n4uuvv67Q8dy8TbqMa25EWiQ+Ph4eHh4IDw9Hs2bNXnicWq1G/fr1ERUVhYYNG9ZihUQ1jmtuRGLj\n6OiITz75BFOnTn3p3rf4+HgYGBgw2EhnMdyItMzMmTORlJSEgwcPvvAYrreRrmO4EWkZAwMDbN68\nGTNmzMDjx4+feww3b5Ou45obkZaaNGkSjIyMsH79emTkl+DQ5STEpuYit1iBsHNn0L9zG8wZ1RNW\npkZCl0pUnbiJm0jMsrKy0LrHQHSbtBjX0hUAgBKFqux5I6kEgATezjaY4uWEdg7mAlVKVK0YbkSa\nzNTUFNevX39p1+PL7A6Lx6KfbkKuVAMv2agtkQAyqT7mDnCBn6djFasl0hjsliSqTcuXL0f//v3L\nPdaiRYvnPrZ//37k5+e/VrAtPREDuVry0mADALUaKJIrsfREDHaHxVfp/Yi0DcONqJr06NEDFy9e\nhFKpBAA8fPgQcrkcV69eLffY3bt30aNHjyq/z7XEHCw9EYsiuerVBz+jSK7CkuPRuJ6UU+X3JtIW\nDDeiatKxY0fI5XJERUUBAEJDQ/HWW2/B2dm53GPNmzeHvb09JBIJ7t69CwDw9/fH1KlTMXDgQJiZ\nmeHNN9/EvXv3ys4dGxuL3r17w9LSEl6d2iHzRkjZc8qiXDw6uAgPVg/Hw+9mIPvcLqTuDip7PuFL\nH+RdPo7kzRNx79vx2BhyFxcvXkTHjh1Rr149dOzYERcvXiw7PiUlBe+88w4sLS3h5OSELVu2lD23\ncOFCDB8+HH5+fjAzM0ObNm0QFxeH5cuXo379+nBwcMDJkydr5PMlqgyGG1E1MTQ0xJtvvolz584B\nAM6dO4fu3bujW7du5R570aht//79WLBgAbKzs+Hk5IS5c+cCAAoKCtC7d2+MGTMGt+4nop7PJ8j8\nbRNKMx4AALJOboLEUIZG/9kFK58ZKLhx6l/nLrwTBrv3V6PBhI34I+o+BgwciOnTpyMzMxMzZ87E\nwIEDkZmZCQAYNWoUGjVqhJSUFBw6dAhz5szB6dOny8517NgxvPfee8jOzsYbb7yBvn37QqVSITk5\nGfPnz8fkyZOr70MlqiKGG1E18vLyKguy0NBQdO/eHd27dy/3mJeX13NfO3jwYHTq1AlSqRRjx44t\nG+0dP34cjo6OGDduHI5cS4XMrjnqOHdBYex5qFVKFN6+CPNuY6FnIIOhdWOYtHn7X+eu6zkc+sZm\n0DMwQsGdcJjbNcZ7770HqVSK0aNHw8XFBceOHUNiYiIuXLiAFStWQCaToX379pgwYQJ27txZdq7u\n3bujb9++kEqlGD58ONLT0/HZZ5/BwMAAo0aNQnx8PHJyOPVJwpIKXQCRmPTo0QMbNmxAVlYW0tPT\n0aJFC9ja2uL//u//kJWVhZs3b75w5GZnZ1f2dZ06dZCfnw8ASEhIwKVLl2Bubo4iufJJd6RKCZPW\nb0FVmAuolNCva132WqmZNUr+59zSZ54vzs2EWb365Z5v0qQJkpOTkZKSAktLS5iZmZV7LjIysux7\nW1vbsq+NjY1hbW0NfX39su8BID8/H+bm3HpAwmG4EVWjzp074/Hjx9iyZQu6du0K4Mntauzt7bFl\nyxbY29ujadOmlTqng4MDvLy88Pvvv+ODHRE4Hfuo7Dm1Sgno6UOZlwk9yyfXkVTkZfz7JJJ/uqf1\nTS2RnRBe7ukHDx6gX79+sLe3R1ZWFvLy8soC7sGDB7xGJWkdTksSVSNjY2N4eHhg9erV6N69e9nj\n3bp1w+rVq6vUJenj44O4uDjs2rULJlI11EoFSh7GQZ6RCImePuq07IKc83uhkhdDnpmIgpunX3o+\n4+YeyE17gL1790KhUODAgQO4desWfHx84ODggC5dumD27NkoLi7G9evXsW3bNvj5+VW6biIhMdyI\nqpmXlxcePXqEbt26lT3WvXt3PHr0qErhZmZmhpMnT2L//v34bmo/JH37HrLPfAe1Ug4AsOwTAHVJ\nAZLWv4eMY6th0qoHJPovnpQxMTPH9BVb8fXXX8PKygpfffUVjh8/DmvrJ1OX+/btQ3x8POzt7TF4\n8GAsWrQIvXr1qnTdRELiFUqItEhGfgm6rjhd7jJb/yv7zHYoC7Jh7TPzuc8bSfVw8VNec5K0Fq9Q\nQiQ21qZG8Gpp8+wSGuSZiSh99BfUajVKUm4j//rvqNOy83NfL5EAbznbMNhI9NhQQqRlpno7IfRO\nBorkT656oiotQsbRlVDmZ0HPxBx1O/nCuIXnc18rk+pjirdTbZZLJAhOSxJpoafXlqzMJbiMDfQw\nd0ArXjyZtF2FpiU5ciPSQk8DaumJWBQrlHjZ76i8KwDpIo7ciLTY9aQcbAy5izO30yEBUPxMo4lM\nqgc1nqyxTfF2QttG3FRNosD7uRHpisz8Ehy6koTYh3nILZajrswALg3MMMy9EZtHSGwYbkREJDrc\nCkBERLqJ4UZERKLDcCMiItFhuBERkegw3IiISHQYbkREJDoMNyIiEh2GGxERiQ7DjYiIRIfhRkRE\nosNwIyIi0WG4ERGR6DDciIhIdBhuREQkOgw3IiISHYYbERGJDsONiIhEh+FGRESiw3AjIiLRYbgR\nEZHoMNyIiEh0GG5ERCQ6DDciIhIdhhsREYkOw42IiESH4UZERKLDcCMiItFhuBERkegw3IiISHQY\nbkREJDoMNyIiEh2GGxERiQ7DjYiIRIfhRkREosNwIyIi0WG4ERGR6DDciIhIdBhuREQkOgw3IiIS\nHYYbERGJDsONiIhEh+FGRESiw3AjIiLRkVbyeEmNVEFERFSNOHIjIiLRYbgREZHoMNyIiEh0GG5E\nRCQ6DDciIhIdhhsREYkOw42IiESH4UZERKLDcCMiItFhuBERkej8f4arrMG0jJWIAAAAAElFTkSu\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117c70710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create data directory path\n",
    "from pathlib import Path\n",
    "data_dir = Path('.') / 'data'\n",
    "# Read edge list\n",
    "G = nx.read_edgelist(str(data_dir / 'example.edgelist'))\n",
    "# Draw network\n",
    "pos = nx.spring_layout(G)\n",
    "nx.draw_networkx(G, pos)\n",
    "plt.gca().margins(0.15, 0.15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Directed edge list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BVFQUxo0bB1NTU6GjVRmtVsuRGxkETksSlcKxY8cwYcIE1KlTBydPnkSzZs2E\njiSIpKQkAICzs7PASYhejOVG9AK3b99GcHAwoqKisGzZMvTp08eoF1L8PWoz5veADAOnJYlKkJWV\nhc8//xwdO3ZEly5dcPPmTbz33ntG/0OdU5JkKDhye4E0RSH2RiYh+mE2sgtUsJHL4FHbBoFezqhp\nZSZ0PCoHrVb7woJSq9XYtGkTZs6cCT8/P9y8eROOjo5VmFC/RUREYOzYsULHIHop3vKmBFcTM7Em\nJBZnbqcCAApVGt1zcpkJtAB83R0wxscNLVxsBUpJ5REQEAA3NzcsXLjwmedCQkIwfvx42NjYYMWK\nFWjVqpUACfWXVquFvb09bty4gTp16ggdh4xXqaZPWG7/si0sDvMPRaNApcbTb43i5mnkXj8FxwFz\nAQASCSCXSTGttweGtK8vTFgqk71792Lo0KEAgOvXr+suYnzv3j1MmjQJERERWLx4MQIDA41++rEk\n9+7dg7e3t25RCZFAjOd+bvXr14e5uTmsrKzg6OiIYcOGQaFQlHk/T4otCvnK4sUGAFaeb+qKDQC0\nWiBfqcb8Q1HYFhb3it8BVba0tDSMHDkS+fn5KCoqwqeffoqcnBxMnToVrVu3xhtvvIGoqCj069eP\nxfYcPN9GhkQU5QYABw8ehEKhwKVLlxAREYF58+YVe16r1UKj0Tzn1U+mIucfika+8vnblCRfqcH8\nQ9G4lpRZrtxUNf4uNuDJebUzZ87A1dUVSUlJuHbtGqZPnw5zc3OBU+o3lhsZEtGU29/q1q2Lt99+\nGzdu3ICvry+mTZuGTp06wcLCAn/++SeSk5PRp08f2NnZwc3NDRs2bAAALN73B2IWvAd1fo5uX0UP\n7yJx5SBo1Soorp3Aw22Tdc/FL/RDzuVDuL9+FGIWB2DgsFF4eop3w4YNaNy4MaytrdGoUSMMHz4c\njRo1wt27d+Hv7w8HBwe4urpi1apVVffmiESaohDrztzF+B8vY/jmcIz/8TLWnbmLx4rCErfft28f\njh8/jqKiIt1jRUVFMDMzw3fffYe6detWVXSDxnIjQyK61ZKJiYk4dOgQPvjgA4SGhmLr1q04fPgw\n3N3dodVq8dZbb6Fp06ZITk5GdHQ0unfvDnsnF0SkAtWcPJAXcx7Wb/QCAOTeOgML946QSEt+m/Jj\nw1HnP19DU5iHmM3jsWf/r+jX913s2bMHs2fPxqJFi7B//34cPHgQ8fHxKCoqQmBgIN5//33s3LkT\nSUlJ6NatG9zd3dGzZ8+qfJsM0osX+jzE1yduP7PQJz09HcOHD0deXt4z+8vKysK6deu4+q8UNBqN\n7u7bRIZANCO3999/H7a2tuiaABDUAAAdR0lEQVTcuTN8fHwwdepUAMCwYcPg6ekJmUyGhw8f4vz5\n81i0aBHkcjneeOMNjBw5EotXPxm9WXr6IPfWWQBPpjFzo87Csonvc49p0z4AJnIryKrXgsVrzbHz\nyFmo1Wp89dVXkEgkGD16NPbt24eioiIUFRVBIpEgLS0NM2fORLVq1fD6669j1KhR2LVrV6W/P4Zu\nW1gcBmwIw/GoRyhUaYoVGwAU/PXYsVuPMGBDmO486PDhw5GTk1PCHoHc3FxMmTIFGRkZlR3f4N29\nexe2trZwcHAQOgpRqYhm5LZ//35069btmcddXFx0f09OToadnR2sra11j7322mu4/9tpmKg0sHDv\nhIzj66FSpEOVfh+QSGDm4vncY0qtauj+rpGaIfzKDdjb2yMrKwslrUKVyWRITk6Gre0/Hx9Qq9Xw\n9vYu8/erb86dO4fJkyfj5s2bkEqlaNy4MVasWIGbN29i48aNOHfuXLn3/c9Cn5efD316oc+ZM2fw\nyy+/QCqVQiKRwMLCAlKpFGq1GkqlEkqlEiqVCmFhYUZ14ePy4JQkGRrRlNvzPL3yzcnJCenp6cjJ\nydEVXEJCAsxs7KEEIJVbQV6/JfKiQqF8nAjLxl3KtHIuS5GH3OcUGwAolUrIZDLUrVsX1tbWxf6M\nHTv2mcf+/cfKykr392rVqr3S+1KRsrOz4efnh2+//Rb9+vVDUVERQkNDYWZWug+6q9VqSKXSEp97\nlYU+Z7LtMfzzOej6RgNMnDgRX3zxBd566y3Y2NigevXqsLGxee5xqTiWGxka0Zfb01xcXNCxY0dM\nmTIFS5cuxe3bt7Fp0yZ0GjUHl9RPtrH09EF22E9QZaXAceD8Mu2/sXtDjJn0EcaOHYu8vLxnSq5O\nnTqws7ND9+7d0adPH+Tn5yM6OhqZmZmwt7dHTk4OsrOzkZycjJycnBf+kUqlLy3Dfxfii/68yg/5\n27dvAwAGDhwIADA3N0ePHj0QFRWFTz75BEqlElZWVpDJZMjMzMSwYcNgbm6O+Ph43eiqsLAQ06dP\nx927d1G9enWMGDECs2fPxpqQWCTuW4JqDvVh0+4DqHLScH/NMNh1/wTWXn5QZjzAw80T4DxuBzT5\nOXj82woUJN2CRCKBqX09yOZ/j8GD22LatGlQq9UYMmQI4uPj0atXL2zevFn3fW/YsAGLFi1Ceno6\nOnfujHXr1sHJyQnAk1+QVq5ciRUrViA7OxsfffQRFi1aBBMT0czqv1R4eDhmzpwpdAyiUjOqcgOA\nnTt34pNPPoGTkxNq1KiBOXPmAI274+aJ2yhUaWDu1g6PD6+GzMYB1RxfL/V+pSYS2FuZYdiwYQgM\nDERAQACOHj1arOBsbGxw7NgxBAcHY+DAgSgsLIS7uzvmzZtX4pTq82i1WhQUFDxTeAqF4pnH0tPT\nER8f/9ySVCgUUCgUMDMzK1cpWltb60a3gYGBGDBgAHx9fVGzZk00btwY69atK3FacseOHTh06BB+\n/fVXFBUVISwsDFu2bIGnpydu3LiB7t2743V3T5y5bQW5S1Pk3f4DNu0+QGHCDchsa6Mg8SasvfxQ\nmHAdZs6ekEhMkH1xH6TWNeHy3+0AgMLkaJy+naZbRbl7924cOXIEcrkcnTp1wg8//IBPPvkEp06d\nwpQpU3Ds2DF4enri888/x4ABA3D27Fld3n379iEiIgIKhUK3CGjkyJGl/m9myNRqNS5fvszFJGRQ\neIUSPFla3mnRqWcWKZSFmcwEv/9f12LXnLx//z4mTJiAX3/9Ffn5+WjdujXCw8MrInKF0mq1yMvL\ne+lo8UVF+vjxYzx69AiFhYXQarWQSqWws7ODiYkJFAoFWrdurSvDyMhIyGQy9OvX77klumrVKtzN\nUCGl+SAoUpPx8IfxcB6/E+lH16KaYwNk/b4LzkGbkfbrclSr5Qqbtn2ReXYbilLuocZbI2Ba48mo\nSy4zwYTujbBg6FuYN28ehgwZAgCYPHkysrOzsW7dOowYMQI1a9bE4sWLAQAKhQI1atTAnTt3UL9+\nfUgkEhw+fBi9ej1ZRbt27Vr89NNPOHnypDD/warYrVu30KdPH8TGxgodhQgo5RVKjG7kVhJ7KzP4\nNHLA8ahHz1yZpDQkEuBNd4dnLqZct25d7N69G5GRkfj4449Rv379iglcwSQSCSwtLWFpaYnatWu/\n8v5u3bqFwYMH47XXXkO7du3w448/YtasWboivHfvHiwsLKBWq5GUlIScnBzExcXh8uXLyM7Ohkaj\ngVarhdzFE7WaDIRpjTqQVJOj6NGfKEy6heqdBkBx7RiUj5NQkHAD1q37AABs2n2AzHM7kLJrBgDA\n6o1eQIdARD94slry6e/NwsICycnJAJ4sNHr6OpJWVlaoWbMm7t+/r/tv9vTCpNdee033WmPA821k\niFhufwnydUPonTTkK9Vlfq1cJsUYX7fnPu/l5YXIyMhXiWdQmjRpghEjRmD9+vXo27cvrKys8Oab\nb+qeP378OJydnfHll1/qHmvQoAGmT5+OTz/9FHK5HOPHj8fBizH4+7+GmUtT5MWch1athMzaHnKX\nZlDcOAlNoQLVarkCAEzMLGD31kjgrZEoSo3Do53TUK1OQ2R71HphXicnJ8THx+u+zs3NxePHj4t9\nuDsxMRGenk9WziYkJOjOxxkDlhsZIuM5I/4SLVxsMa23B8xNy/aWmJuaYFpvDzR3Nt67A0RHR2PZ\nsmW6C+omJiZi586daN++PRwdHZGUlFTs6iAlycnJgZ2dHeRyOS5evIgdO3bAVPrP7IO8XjPkRP4K\nM5emAACzv76WOzeBxOTJopC82ItQZiRDq9XCxMwSEokJJBIT2MhNX3jsgQMH4vvvv8eVK1dQWFiI\nqVOnol27dsVG2kuWLEFGRgYSExOxcuVK9O/fvzxvlUFiuZEh4sjtKX9f3b+kuwL8G+8K8A9ra2tc\nuHABy5cvR2ZmJmxtbeHn54clS5ZALpfD09MTtWvXhomJCdLS0krcx9q1axEcHIyxY8fCx8cH/fr1\nQ3hMIrQyExSqNJC7NIW2KB/yv8pN7twEWmWhruwAQJWejPRj66DJz4KJ3ApWrXrDtsEb8KhjXeIx\n/9atWzfMnTsX/v7+yMjIQMeOHZ/5YP17770HLy8vZGVlYdiwYRgxYsQrvmuGQaVS4erVq7z9Dxkc\nLigpwbWkTKwNicXpmFRI8OTqF3/7+35ub7o7YIyvm1GP2CpbZS30KSuJRII7d+7Aze35U89ide3a\nNfTv3x9RUVFCRyH6GxeUlFdzZ1usG9IajxWF2HspCdEPcpBdoISN3BQedawR0Ip34q4KlbXQh0qP\nU5JkqFhuL1DTygyjuzQQOoZRq8yFPvRyLDcyVFxQQnpNHxb6aLVao5ySBFhuZLh4zo0MwpOLJ5di\noQ+0MDOVYnrvxka/0OdVFRUVwdbWFqmpqbC0tBQ6DtHfSnXOjSM3MghD2tfHjx+3R88mjjCTmUAu\nK/6/rlxmAjOZCfJuhyHrp9lwl6YKlFQ8bty4gQYNGrDYyCBx5EYG50ULfZo1csWDBw8gl8sxbNgw\nLFmyBFZWVkJHNkj/+9//8Mcff+D7778XOgrR00o1cmO5kai0bt1adzUYuVwOKysrfPfdd3j33XcF\nTmZ4Pv74Y7Ro0QJBQUFCRyF6Gqclyfg4Ojrq/l5QUIC0tDQMGDAAfn5+ePDggYDJDE94eDgXk5DB\nYrmRqJR0zce8vDwcO3YMDRs2xP79+wVIZXjy8/MRExOD5s2bCx2FqFxYbiQqT1/s+GlSqRRmZmaw\nsbGp4kSG6dq1a3B3d4e5ubnQUYjKheVGouLg4AC5XF7sMblcjlGjRiEuLg5du3YVKJlh4efbyNDx\nCiUkKg4ODjA1NUVBQQEsLS1hYWGBrl27YtWqVUJHMygRERFo37690DGIyo0jNxIVe3t75OXlwdbW\nFt9++y2io6Nx5swZo7qfXkXgyI0MHT8KQKKSmZmJNWvWYOzYsahevToA4IcffsC3336LP/74AyYm\n/H3uZXJzc+Hg4IDMzExUq1ZN6DhE/8aPApDxsbW1xbRp03TFBgBDhw6FTCbDxo0bBUxmOK5cuYKm\nTZuy2MigsdxI9ExMTLB27VrMmDHjuTdLpX9wSpLEgOVGRqFFixYYMGAApkyZInQUvcdyIzFguZHR\n+PLLL/Hbb78hLCxM6Ch6jeVGYsAFJWRUtm/fjuXLl+PixYuQSqVCx9E72dnZcHJyQmZmJmQyflKI\n9BIXlBD926BBg2BtbY3169cLHUUvXb58Gc2bN2exkcFjuZFRkUgkWLNmDWbPno2UlBSh4+gdTkmS\nWLDcyOh4enpi6NChmDx5stBR9A7vBEBiwXIjozRr1iycOHEC586dEzqKXuHIjcSC5UZGydraGsuW\nLUNQUBBUKpXQcfRCRkYGHj16BHd3d6GjEL0ylhsZrX79+qFWrVpYs2aN0FH0QmRkJFq2bMlVpCQK\nLDcyWhKJBKtXr8a8efN4l25wSpLEheVGRs3DwwMjR47EpEmThI4iOJYbiQnLjYze9OnTERoaipCQ\nEKGjCIrlRmLCciOjZ2lpia+//hpBQUFQKpVCxxFEamoqMjMz4ebmJnQUogrBciMC0LdvX9SrVw8r\nV64UOoogIiMj4eXlxfvdkWjw/2QiPFlcsmrVKixcuBBJSUlCx6lynJIksWG5Ef2lYcOGGDNmDIKD\ng4WOUuVYbiQ2vCsA0VPy8vLg6emJDRs2oFu3bkLHqTLOzs4IDQ2Fq6ur0FGIXoZ3BSAqKwsLC6xa\ntQpBQUEoLCwUOk6VePDgAfLz81G/fn2hoxBVGJYb0b+8++67cHd3x/Lly4WOUiUiIyPRunVrSCSl\n+oWYyCCw3IhKsHLlSixbtgwJCQlCR6l0PN9GYsRyIyqBq6srxo0bh/HjxwsdpdKx3EiMWG5EzzFp\n0iRcv34dhw8fFjpKpdFqtSw3EiWWG9FzyOVyrF69Gp999hkKCgqEjlMpkpKSoNVq4ezsLHQUogrF\nciN6gV69eqF58+ZYvHix0FEqxd+jNi4mIbFhuRG9xIoVK7Bq1Sr8+eefQkepcJySJLFiuRG9RL16\n9fD5559j3LhxQkepcCw3EiuWG1EpTJw4EXfu3MHBgweFjlJh/l5M4uXlJXQUogrHciMqhWrVquGb\nb77Bf//7X+Tl5Qkdp0LExcVBLpfDyclJ6ChEFY7lRlRK3bp1Q9u2bbFw4UKho1QITkmSmLHciMpg\n+fLlWLt2Le7cuSN0lFcWERGBNm3aCB2DqFKw3IjKoG7duvjiiy/w2WefoYx31NA7HLmRmLHciMpo\n3LhxSExMxL59+4SOUm4ajUZ3920iMWK5EZWRqakp1qxZgwkTJiA3N1foOOVy9+5d2NrawsHBQego\nRJWC5UZUDr6+vvD29sa8efOEjlIunJIksWO5EZXT0qVLsXHjRkRHRwsdpcxYbiR2LDeicqpduzam\nT5+OsWPHGtziEpYbiR3LjegVBAUFITU1Fbt37xY6Sqmp1WpcvnyZi0lI1FhuRK9AJpNh7dq1CA4O\nRk5OjtBxSuX27duoVasWatSoIXQUokrDciN6RZ06dUL37t0xZ84coaOUCqckyRiw3IgqwKJFi7Bl\nyxbcuHFD6CgvFR4eznIj0WO5EVWAWrVqYfbs2QgKCtL7xSUcuZExYLkRVZDRo0dDoVBg+/btQkd5\nLpVKhatXr6JVq1ZCRyGqVCw3ogoilUqxdu1aTJ48GVlZWULHKdGtW7fg4uICGxsboaMQVSqWG1EF\nateuHfz8/DBz5kyho5SIU5JkLFhuRBXsq6++wq5du3DlyhWhozyD5UbGguVGVMHs7e0xb948BAUF\nQaPRCB2nGJYbGQuWG1ElGDFiBFQqFTZv3ix0FJ2ioiLcuHEDLVu2FDoKUaVjuRFVAhMTE6xduxZT\npkxBRkaG0HEAADdu3ECDBg1gaWkpdBSiSsdyI6okXl5e+OCDDzBt2jShowDglCQZF5YbUSWaP38+\n9u3bh8jISKGjsNzIqLDciCpRjRo1sGDBAowZM0bwxSUsNzImLDeiSjZ06FDIZDJs3LhRsAwFBQWI\njo5G8+bNBctAVJVYbkSV7O/FJTNmzEBaWpogGa5duwZ3d3eYm5sLcnyiqsZyI6oCLVq0wIABAzBl\nyhRBjs8pSTI2LDeiKvLll1/it99+Q1hYWJUfm+VGxoblRlRFqlevjsWLFyMoKAhqtbpKj81yI2PD\nciOqQoMHD4aVlRXWr19fZcfMzc1FbGwsmjZtWmXHJBIay42oCkkkEqxZswazZ89GSkpKlRzzypUr\n8PT0hJmZWZUcj0gfsNyIqljTpk0xdOhQTJ48uUqOxylJMkYsNyIBzJo1CydOnMC5c+cq/VgsNzJG\nLDciAVhbW2PZsmUICgqCSqWq1GOx3MgYsdyIBNKvXz84ODhgzZo1lXaM7OxsJCQkoEmTJpV2DCJ9\nxHIjEohEIsE333yDefPm4cGDB5VyjMuXL6N58+YwNTWtlP0T6SuWG5GAPDw8MHLkSEyaNKlS9h8R\nEYE2bdpUyr6J9BnLjUhg06dPR2hoKEJCQip83zzfRsaK5UYkMEtLS3z99dcICgqCUqms0H2z3MhY\nsdyI9EDfvn1Rr149rFy5ssL2mZGRgYcPH8Ld3b3C9klkKFhuRHpAIpFg1apVWLhwIZKSkipkn5cu\nXULLli0hlUorZH9EhoTlRqQnGjZsiDFjxiA4OLhC9scpSTJmLDciPfLFF1/g4sWLOHHixCvvi+VG\nxozlRqRHLCwssGrVKgQFBaGwsPCV9sVyI2PGciPSM++++y4aNWqE5cuXl3sfaWlpSE9Ph5ubWwUm\nIzIcLDciPbRq1SosXboU8fHx5Xp9ZGQkvLy8YGLCf+JknPh/PpEecnV1xbhx4zBhwoRyvT48PJxT\nkmTUWG5Eemry5Mm4fv06Dh8+XObX8nwbGTuWG5GeksvlWL16NT777DMUFBSU6bUsNzJ2LDciPdar\nVy80b94cixcvLvVrHjx4gLy8PLi6ulZiMiL9xnIj0nMrVqzAqlWr8Oeff5Zq+8jISLRu3RoSiaSS\nkxHpL5YbkZ6rV68egoODMW7cuFJtzylJIpYbkUEIDg7GnTt3cODAgZduy3IjAiRarbYs25dpYyKq\nOCdOnMCoUaNw8+ZNWFhYlLiNVqtFnTp1EB4eDhcXlypOSFQlSjXfzpEbkYHo1q0b2rZtiwULFjx3\nm/v370Or1cLZ2bkKkxHpH5YbkQFZtmwZvv32W9y5c6fE5/+ekuRiEjJ2nJYkMjBLly7FiRMncPjw\nYTzOLcLeyCREP8xGdoEKf0bfhJ1JPjZMGY6aVmZCRyWqDKX6zY3lRmRglEolmvn6wa1PEO4oTAEA\nhSqN7nlTiRYmUil83R0wxscNLVxshYpKVBlYbkRitC0sDl8evIlClQaSF1wYWSIB5DIppvX2wJD2\n9asuIFHl4oISIn1kZWVV6g9k/9u2sDjMPxSFIg1eWGwAoNUC+Uo15h+KwrawuHIdj8hQsdyIXtGC\nBQvw9ttvF3usYcOGJT62a9cuKBQKvP7662U+ztXETMw/FI18peblGz8lX6nB/EPRuJaUWeZjEhkq\nlhvRK+rSpQt+//13qNVqAE+u7ahUKnH58uVij8XGxqJLly7lPs6akFgUqNTlem1+URHWhsSW+9hE\nhoblRvSK2rRpA6VSiStXrgAAQkND8eabb8Ld3b3YYw0aNICTkxMkEgliY58UzbBhwxAUFIR33nkH\n1tbWaNeuHe7evavbd3R0NLp3744adnb4Yfz7UNwK1T2nzs9Gyp45SFgeiAc/TEDG2a14uG2y7vn4\nhX7IifwV99ePQtK6j3E6JhWHT4SgTZs2qF69Otq0aYPff/9dt31ycjL69OkDOzs7uLm5YcOGDbrn\nZs+ejcDAQAwZMgTW1tZo1qwZbt++jQULFqBWrVpwcXHBsWPHKucNJioHlhvRK6pWrRratWuHs2fP\nAgDOnj0Lb29vdO7cudhjzxu17dq1C7NmzUJGRgbc3Nwwbdo0AEBubi66d++OQYMGYd6eP1Dngy+Q\nfuxbFKUlAADSj30LSTU5nD/bipp+E5B7/eQz+867E4baQ5fDaeRaaPJzEND3Pfz3v//F48ePMXHi\nRLzzzjt4/PgxAGDAgAFwdnZGcnIy9u7di6lTp+LUqVO6fR08eBAffvghMjIy0LJlS/Ts2RMajQb3\n79/HzJkzMXr06Ip7U4leEcuNqAL4+Pjoiiw0NBTe3t7w9vYu9piPj0+Jr+3bty/atm0LmUyGwYMH\n60Z7v/76K+rXr4+PPvoId9LyILF3hYV7R+RFn4NWo0ZezO+w7TwYJqZyVLOvB8tmbz2zb5v2gZCa\nW8PE1AwZMRdg7eiCDz/8EDKZDAMHDoSHhwcOHjyIxMREnD9/HosWLYJcLscbb7yBkSNHYsuWLbp9\neXt7o2fPnpDJZAgMDERqaiq++OILmJqaYsCAAYiLi0NmJs/rkX6QCR2ASAy6dOmCNWvWID09Hamp\nqWjYsCEcHR3xn//8B+np6bhx48ZzR261a9fW/d3CwgIKhQIAEB8fjwsXLsDW1hb5RWooNVpAo4Zl\n0zehycsGNGpIbex1r5VZ26PwX/uWPfW8WpEO6xqOxZ5/7bXXcP/+fSQnJ8POzg7W1tbFnouIiNB9\n7ej4z2vNzc1hb28PqVSq+xoAFAoFbG35uToSHsuNqAJ06NABWVlZ2LBhAzp16gQAsLGxgZOTEzZs\n2AAnJ6cy3zzUxcUFPj4+OH78OMb/eBn7ryTrntNq1ICJFOqcxzCxqwsAUOWkPbuTpy7DJbWyQ35i\neLGnExIS0KtXLzg5OSE9PR05OTm6gktISEDdunXLlJlIX3BakqgCmJubo3Xr1li+fDm8vb11j3fu\n3BnLly8v1ypJPz8/3L59G1u3bkVDe3NUk2hQ+OA2lGmJkJhIYdGoIzLP7YBGWQDl40Tk3jj1wv3V\naNQW2Y8SsGPHDqhUKvz444+4desW/Pz84OLigo4dO2LKlCkoKCjAtWvXsGnTJgwZMqTMuYn0AcuN\nqIL4+PggJSUFnTt31j3m7e2NlJSUcpWbtbU1jh079mTBSX9v3F0xGBmnf4BWrQQA2PX4BNrCXCSt\n/hBpB5fDsnEXSKTPn4wxsbDBnp/2Y9myZahZsyYWL16MX3/9Ffb2T6Yud+7cibi4ODg5OaFv376Y\nM2cOunXrVubcRPqAl98iMhAfb43A8ahHeN4/2YzT30OdmwF7v4nPPCeRAD2bOGLdEN7ElAweL79F\nJCZBvm6Qy6S6r5WPE1GUcg9arRaFyTFQXDsOi0YdSnytXCbFGF+3qopKJDguKCEyEC1cbDGttwfm\nH4pCvlIDTVE+0n5ZArUiHSaWtrBp+z7MG7Z/5nXmpiaY1tsDzZ25ipGMB6cliQzMk4snR6NApX7u\nFCXAuwKQaPGWN0RidS0pE2tDYnE6JhUSAAVP3c9NLjOBFsCb7g4Y4+vGERuJDcuNSOweKwqx91IS\noh/kILtACRu5KTzqWCOglTPvxE1ixXIjIiLR4WpJIiIyTiw3IiISHZYbERGJDsuNiIhEh+VGRESi\nw3IjIiLRYbkREZHosNyIiEh0WG5ERCQ6LDciIhIdlhsREYkOy42IiESH5UZERKLDciMiItFhuRER\nkeiw3IiISHRYbkREJDosNyIiEh2WGxERiQ7LjYiIRIflRkREosNyIyIi0WG5ERGR6LDciIhIdFhu\nREQkOiw3IiISHZYbERGJDsuNiIhEh+VGRESiw3IjIiLRYbkREZHosNyIiEh0WG5ERCQ6LDciIhId\nlhsREYkOy42IiESH5UZERKLDciMiItFhuRERkeiw3IiISHRYbkREJDosNyIiEh2WGxERiQ7LjYiI\nRIflRkREosNyIyIi0WG5ERGR6LDciIhIdFhuREQkOiw3IiISHVkZt5dUSgoiIqIKxJEbERGJDsuN\niIhEh+VGRESiw3IjIiLRYbkREZHosNyIiEh0WG5ERCQ6LDciIhIdlhsREYkOy42IiETn/wFGBYde\n39+h0QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117c705c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Read edge list\n",
    "G = nx.read_edgelist(\n",
    "    str(data_dir / 'example.edgelist'),\n",
    "    create_using=nx.DiGraph)\n",
    "# Draw network\n",
    "nx.draw_networkx(G, pos, arrowsize=20)\n",
    "plt.gca().margins(0.15, 0.15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Weighted edge list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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s2TL885//RE1NzR3bVSoV5syZgyVLlqBVq1YSJCSSF5YbURPS6XT49NNP8cYb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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a03e6d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Read edge list\n",
    "G = nx.read_weighted_edgelist(\n",
    "    str(data_dir / 'weighted.edgelist'))\n",
    "# Extract weights\n",
    "weights = [d['weight'] for s, t, d in G.edges(data=True)]\n",
    "# Draw network\n",
    "ax = plt.subplot(111)\n",
    "nx.draw_networkx(\n",
    "    G, pos, width=4, edge_color=weights, edge_cmap=plt.cm.Greys)\n",
    "ax.margins(0.15, 0.15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Edge list with edge attributes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cc8yrSyqihhIRkT+Vl2c0kJQPNoA5cxRsXkzhJiK+y+WCv/7VWCOyvKefhqFDzalJaoQu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\ncv4f7lbrySNIblgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117c56470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Read edge list\n",
    "G = nx.read_edgelist(\n",
    "    str(data_dir / 'attributes.edgelist'),\n",
    "    data=[('weight', float), ('color', str)])\n",
    "# Extract colors\n",
    "colors = [d['color'] for s, t, d in G.edges(data=True)]\n",
    "# Draw network\n",
    "ax = plt.subplot(111)\n",
    "nx.draw_networkx(\n",
    "    G, pos, width=4, edge_color=colors)\n",
    "ax.margins(0.15, 0.15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adjacency list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read adjacency list\n",
    "G_adj = nx.read_adjlist(str(data_dir / 'example.adjlist'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### GEXF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<?xml version='1.0' encoding='utf-8'?>\n",
      "<gexf version=\"1.2\" xmlns=\"http://www.gexf.net/1.2draft\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\" xsi:schemaLocation=\"http://www.w3.org/2001/XMLSchema-instance\">\n",
      "  <graph defaultedgetype=\"undirected\" mode=\"static\" name=\"\">\n",
      "    <attributes class=\"edge\" mode=\"static\">\n",
      "      <attribute id=\"1\" title=\"color\" type=\"string\" />\n",
      "    </attributes>\n",
      "    <attributes class=\"node\" mode=\"static\">\n",
      "      <attribute id=\"0\" title=\"abbreviation\" type=\"string\" />\n",
      "    </attributes>\n",
      "    <meta>\n",
      "      <creator>NetworkX 2.2rc1.dev_20190509225622</creator>\n",
      "      <lastmodified>09/05/2019</lastmodified>\n",
      "    </meta>\n",
      "    <nodes>\n",
      "      <node id=\"Winegroom\" label=\"Winegroom\">\n",
      "        <attvalues>\n",
      "          <attvalue for=\"0\" value=\"W\" />\n",
      "        </attvalues>\n",
      "      </node>\n",
      "      <node id=\"Uptown\" label=\"Uptown\">\n",
      "        <attvalues>\n",
      "          <attvalue for=\"0\" value=\"U\" />\n",
      "        </attvalues>\n",
      "      </node>\n",
      "      <node id=\"Strawshop\" label=\"Strawshop\">\n",
      "        <attvalues>\n",
      "          <attvalue for=\"0\" value=\"S\" />\n",
      "        </attvalues>\n",
      "      </node>\n",
      "      <node id=\"Amazelake\" label=\"Amazelake\">\n",
      "        <attvalues>\n",
      "          <attvalue for=\"0\" value=\"A\" />\n",
      "        </attvalues>\n",
      "      </node>\n",
      "      <node id=\"Province\" label=\"Province\">\n",
      "        <attvalues>\n",
      "          <attvalue for=\"0\" value=\"P\" />\n",
      "        </attvalues>\n",
      "      </node>\n",
      "    </nodes>\n",
      "    <edges>\n",
      "      <edge id=\"0\" source=\"Winegroom\" target=\"Uptown\" weight=\"1.0\">\n",
      "        <attvalues>\n",
      "          <attvalue for=\"1\" value=\"red\" />\n",
      "        </attvalues>\n",
      "      </edge>\n",
      "      <edge id=\"1\" source=\"Winegroom\" target=\"Strawshop\" weight=\"5.0\">\n",
      "        <attvalues>\n",
      "          <attvalue for=\"1\" value=\"orange\" />\n",
      "        </attvalues>\n",
      "      </edge>\n",
      "      <edge id=\"2\" source=\"Uptown\" target=\"Strawshop\" weight=\"9.0\">\n",
      "        <attvalues>\n",
      "          <attvalue for=\"1\" value=\"blue\" />\n",
      "        </attvalues>\n",
      "      </edge>\n",
      "      <edge id=\"3\" source=\"Uptown\" target=\"Amazelake\" weight=\"6.0\">\n",
      "        <attvalues>\n",
      "          <attvalue for=\"1\" value=\"red\" />\n",
      "        </attvalues>\n",
      "      </edge>\n",
      "      <edge id=\"4\" source=\"Strawshop\" target=\"Province\" weight=\"3.0\">\n",
      "        <attvalues>\n",
      "          <attvalue for=\"1\" value=\"orange\" />\n",
      "        </attvalues>\n",
      "      </edge>\n",
      "    </edges>\n",
      "  </graph>\n",
      "</gexf>\n"
     ]
    }
   ],
   "source": [
    "for v in G.nodes:\n",
    "    G.nodes[v]['abbreviation'] = v[0]\n",
    "import sys\n",
    "nx.write_gexf(G, sys.stdout)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### JSON"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'directed': False,\n",
       " 'graph': {},\n",
       " 'links': [{'color': 'red',\n",
       "   'source': 'Winegroom',\n",
       "   'target': 'Uptown',\n",
       "   'weight': 1.0},\n",
       "  {'color': 'orange',\n",
       "   'source': 'Winegroom',\n",
       "   'target': 'Strawshop',\n",
       "   'weight': 5.0},\n",
       "  {'color': 'blue', 'source': 'Uptown', 'target': 'Strawshop', 'weight': 9.0},\n",
       "  {'color': 'red', 'source': 'Uptown', 'target': 'Amazelake', 'weight': 6.0},\n",
       "  {'color': 'orange',\n",
       "   'source': 'Strawshop',\n",
       "   'target': 'Province',\n",
       "   'weight': 3.0}],\n",
       " 'multigraph': False,\n",
       " 'nodes': [{'abbreviation': 'W', 'id': 'Winegroom'},\n",
       "  {'abbreviation': 'U', 'id': 'Uptown'},\n",
       "  {'abbreviation': 'S', 'id': 'Strawshop'},\n",
       "  {'abbreviation': 'A', 'id': 'Amazelake'},\n",
       "  {'abbreviation': 'P', 'id': 'Province'}]}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nx.node_link_data(G)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating a Network with Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Ignore articles, pronouns, etc.\n",
    "stop_words = set([\n",
    "    'the', 'of', 'and', 'i', 'to', 'my', 'in', 'was', 'that', 'thy',\n",
    "    'a', 'had', 'my', 'with', 'but', 'he', 'she', 'you', 'your',\n",
    "    'me', 'not', 'as', 'will', 'from', 'on', 'be', 'it', 'which',\n",
    "    'for', 'his', 'him', 'chapter', 'at', 'who', 'by', 'have',\n",
    "    'would', 'is', 'been', 'when', 'they', 'there', 'we', 'are',\n",
    "    'our', 'if', 'her', 'were', 'than', 'this', 'what', 'so',\n",
    "    'yet', 'more', 'their', 'them', 'or', 'could', 'an', 'can',\n",
    "    'said', 'may', 'do', 'these', 'shall', 'how', 'shall', 'asked',\n",
    "    'before', 'those', 'whom', 'am', 'even', 'its', 'did', 'then',\n",
    "    'abbey', 'tintern', 'wordsworth', 'letter', 'thee', 'thou', 'oh',\n",
    "    'into', 'any', 'myself', 'nor', 'himself', 'one', 'all', 'no', 'yes'\n",
    "    'now', 'upon', 'only', 'might', 'every', 'own', 'such', 'towards',\n",
    "    'again', 'most', 'ever', 'where', 'after', 'up', 'soon', 'many',\n",
    "    'also', 'like', 'over', 'us', 'thus', 'has', 'about']\n",
    "    + [str(x) for x in range(24)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This example uses regular expressions from the re package\n",
    "import re\n",
    "# Construct a network from a text\n",
    "def co_occurrence_network(text):\n",
    "    # Create a new network\n",
    "    G = nx.Graph()\n",
    "    # Split the text into sentences and iterate through them\n",
    "    sentences = text.split('.')\n",
    "    for s in sentences:\n",
    "        # Remove punctuation and convert to lowercase\n",
    "        clean = re.sub('[^\\w\\n ]+', '', s).lower()\n",
    "        clean = re.sub('_+', '', clean).strip()\n",
    "        # Create list of words separated by whitespace\n",
    "        words = re.split('\\s+', clean)\n",
    "        # Create an edge for each pair of words\n",
    "        for v in words:\n",
    "            # Update word count, add node if necessary\n",
    "            try:\n",
    "                G.nodes[v]['count'] += 1\n",
    "            except KeyError:\n",
    "                G.add_node(v)\n",
    "                G.nodes[v]['count'] = 1\n",
    "            # Update edge count for each pair of words in this sentence\n",
    "            for w in words:\n",
    "                # Skip stop words\n",
    "                if v == w or v in stop_words or w in stop_words:\n",
    "                    continue\n",
    "                # Skip blank space\n",
    "                if len(v) == 0 or len(w) == 0:\n",
    "                    continue\n",
    "                # Add one to the edge's count\n",
    "                try:\n",
    "                    G.edges[v, w]['count'] += 1\n",
    "                except KeyError:\n",
    "                    # Edge doesn't exist, create it\n",
    "                    G.add_edge(v, w, count=1)\n",
    "    return G"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read the text\n",
    "with open(data_dir / 'shelley1818' / 'frankenstein.txt') as f:\n",
    "    text = f.read()\n",
    "# Create a network from the text\n",
    "G = co_occurrence_network(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('man', 'old', {'count': 68}),\n",
       " ('country', 'native', {'count': 38}),\n",
       " ('first', 'now', {'count': 32}),\n",
       " ('death', 'life', {'count': 32}),\n",
       " ('human', 'being', {'count': 32}),\n",
       " ('natural', 'philosophy', {'count': 32}),\n",
       " ('eyes', 'tears', {'count': 30}),\n",
       " ('first', 'eyes', {'count': 28}),\n",
       " ('some', 'time', {'count': 28}),\n",
       " ('night', 'during', {'count': 28})]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pairs = sorted(\n",
    "    G.edges(data=True),\n",
    "    key=lambda e: e[2]['count'],\n",
    "    reverse=True)\n",
    "pairs[0:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.1, 0.1)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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dRrlcxurqqpTygL1eXrPZFGm9G4/Hg3g8LtkYy4Dcx+b1etHpdFCv19FqtVAq\nlVCv1yUzYh8smUzKoDcVkQCwvLyMZrMJ27ZRLpclgHU6HXS7XZHsu3fVcfMBNwMwS+MANNWaLHGm\nUimEw2E0m03JiLhzDdgL4O4eHQB5vyKRiLi1OI6D//mf/8GXX36JRCIhdmcejweZTEaOm9kzZ9Z4\n8cE5tlKpJH28QCAg7180GsVgMMD6+jpKpdK7frwU5URocFNOlXA4LH2s6elp9Pt9lEqlYwc4Zgfl\nchnValVEIQCk7La+vo7BYIBkMillP2ZhrVZLBqKTySR2d3exvLwsAg83kUhERBu1Wk0C8e7ursy5\n1Wo1JBIJUYRya3Y0Gt0ndR+NRqhWq/J4HJA2TROrq6soFAqIRqMi4GC/kEKL9fV15PN5PH36FMDr\nVTmxWAyWZcnMGAfIuSqH/UF6ZrInyMyTZUMGRg6yezwelMtllMtlLC0toVqt4sGDB4hEImg0GiIO\niUajYgBtmqYMcPP3ybGFer0uylK/349ms4mtrS3Yti2lzEgkgnv37mFnZ0cs0C4DVIgOBoO3rlVS\nrg4a3JRThdkbZd/0KTxugKPVFuXya2trWF5eluFmdyCiL6RhGLBtG5FIBNVqFd999x2azSb8fj/i\n8bhkXK1WS55na2trn5ckS5mxWEzGBKjIpFiGFlyUxVerVfh8PsnaKpWK2GFx3IA2Uywd+nw+WXcT\niUTEOYVD5K1WS4LW8vKyvI+lUgm1Wg1erxfhcBihUEhm0rxeL548eYLNzU2YpolOp4NYLCYCGWZ7\nzPjYC2Ov8MmTJ7h37x7m5+dFtGIYhgiEGLSYffKCgsGAYxKZTAadTgfVahVLS0tYXV3F3NyczPdN\nTEzAsizpHV40juOgUCig0WjAsixsbGygUqlc9GEpp8TFf8KUa0coFEKr1cK3336L3/zmNwD2Zqoq\nlcpbAxyzFQatSCSC4XCIarWKWq2GqakpRKNRtNtttFothMPhfSbL7XYbExMT+Pbbb2HbNsLhMKLR\nKOr1+r4Saa/Xk/k0DkjTi9Hr9SISiYgAxO0Owh7e7u4uvv32W+RyORFqdLtd5HI5EZXQrgqA9Lfa\n7TYCgQCePHki6spoNCoZUqFQwFdffYV+vy9KSL/fj+3tbXHRd2/Q5gl6OBwiHo9LiZLZ0suXLyWg\ncB6O84Ptdhvb29vweDz48MMPJYg+e/ZMskNeQLCnRx/OZrMpx8ZeYL1eR7VaRb1ex3A4FE/KbreL\nRCIh4p5YLIZCofDG3XxnzWAwkIWxHIyPRCK4ffv2hR2TcrpocFNOHQ5PT09PIxKJYH19HT6fD7Va\n7VgZnM/nE+soSvNZbmQwoMuMQc2yAAAgAElEQVQHrau8Xq8IUYLBIJLJpGQyDDK9Xk+GxZPJpAx4\nb29vw+/3y/3dCkXuVqNaMhgM7rPGajabMsdWLBalp+bxeBCNRuV5TdNEJBKRYWv21ShQcas72SMc\nDofY2dlBsVhEs9lEPp/Hr3/9a7lPv9+Xi4ZkMim9LZ/PB8dx9lmMcRaN2Wmz2USpVEK5XMbi4iJm\nZ2elbwns9Svj8Ti63a5ksrTUotlzv99Ho9GQ95RBsNPpIJVKiXVXOByWkmokEoFt25icnLyQmTeO\nhrBM7fP5JFvOZrOXIqNUTgf9Td4QDi7qPEtKpZIEig8++EAUjdFoFKVSCTs7O28d9GZvxx3cOGM1\nOTkpfaN2uy0DyJZlSZ+OTia8Mg+FQnj8+DH+7d/+De12W8p20Wh0X7ZWrVbF85HKTaod6YriOA4a\njQYmJiYkwPJ4BoOBlD+5FoZOJ1wPs7m5iXg8vm/vGV37HcdBNBpFJpNBNBrF06dP8ezZM8mYWJpl\nT3B3dxeGYSCRSEh2mEql0Gw28ejRI/T7fSwtLaHZbEqm2O/30Ww28Ze//AXRaBTZbBaFQgGPHj3C\n5uYmMpmMbCjnEDmfm1ljtVqVLDAejyMajYoaNJFIIJlM7hvfsCxL3mfTNGUM4Tzh55BZO7Nw0zQx\nMTGhge2aob/NG4DjOHj+/DlevXp1LkFuZmZG5rZGoxFSqRTW1tYQDAYxOzuLer0uPa+joEejYRiS\nGTWbTelnsTwXCARQrVbleYbDIYrFIrxeL1KpFNrttgQ5ein+8pe/lKyOQYxmwZZlIRQKoVQqIZFI\nYHNzUxSAw+EQa2trkjHFYjHxluSAN7Dnes+Mj1J7ZkBcckpVJYfPi8WieFnSCYSD5izNdrtdpNNp\nCWyVSkXUi4lEQjK0UqmEra0tUZhSWEKVpOM4ePLkCTqdDtLptGSdFMLMzs7CNE3UajVYliXrbei4\nQjeYaDQqe/W4HicWi4kHJrNoln8TiQQGgwHS6fS5rroZjUbyWaRYiSrVcDiMVCr11i3jytVDg9sN\nwHEc3Lp1C16vF+vr69ITeRvv4hMJ7IlCZmZm5O93795Fr9fD119/Db/fj1u3bmEwGGB7e1uGtg9C\nB3vLshCNRpFIJFCv1yVLCgaDIi/P5/P405/+JOXASqWCarUqJ1bLsmDbtgwXb29v48svv0ShUJAe\nGDNEunQ4jiO2XLwNAFmPQ5FIq9VCsViULJBBnVkKAxwzhm+++UbcRLizrVarodls4uXLlzAMQ+bH\n2Ltj5pnP5+Xfdnd3RTQzHo/Fkqzb7WJ1dRXlclkWrPr9fhQKBZnf29zcxNraGiYmJjA5OSmlxPF4\njJmZGQmUm5ubEggajYYIaXhMNK5m1sn+XCgU2relnH3QXq+HRCKxbwj+LKEYhgpRXhBEo1F4vV4E\ng0ENbNcYDW43AGY78/PzSCaTqFQqMmj8piBXqVTeWT0Wi8WQTqelnPizn/0MrVYLT548wXA4RCaT\nkX5HvV7/3mYAj8eDVquF58+fo9/vi/9ku92WQMKTreM4KBaLqFarUg5rtVrodDrY2dkBACQSCRkw\nZubizmR5LPl8Hru7u4jH41KuopMJr/bpzMH72baNr776Cq9evUIkEtm3b46jDR6PRwa6Kf4YjUao\nVCpirszfUzAYFLcTt/1Yr9dDOp1GIBBApVKRPhaDCEuwfN3JZBKWZSGTyUhGWq1W8X//93+yuDUa\njUrm6/V6kc1m4ff7Ua/XUS6XkUgkZBtDLBaD4zjymWBQpiiHvVKqLd0bE7a2thAMBo/cVnDaMNPl\nZ6rdbqPdbsvnxe/3I5VK7TN3Vq4XGtxuAN1uFysrK2i328hkMpiYmIBt27BtG/1+/8ggl06nxb/w\nsJ1pb2NiYgKRSASFQgHpdBoff/wxSqWSnExpeMy+FCX7nMmKx+PIZrPY2NiA4zjIZDJSAvR4PCI6\nmZubQyqVQqVSQblcllLlL3/5Szx69Ag7OztotVriSen3+2FZFl69eiVBZGlpCfV6HaPRCGtra7I3\njh6Lg8EA0WgU8XhcAjKv/BmIX7x4IXZX5XJZ+mHb29siDuECUJbEut0uarWaLBylKIPuJOxPUvRA\n4Qyhk8jTp09ln1wul0M0GsVwOMTExAS63S5isRj6/T5+//vfI5fLYXJyUkrE+Xx+X//MsixsbW1h\ndnYW6XRaXgdLesxCX716hVwuJ58fHr97G3mr1cKvfvUrrKysnEogcduJHQZFOczwuYB2NBrJe0D7\nsvPKIJWLQYPbDSAWiyGVSuHrr7/G1tYWQqEQkskkut2uOHe41XSEV/I8WZ/ESgvYcxXJZrPirXj7\n9m1kMhnkcjk5Lq/XKyd3Kis522aaJubn56UM514U2m63ZRu1bdtYWFiQnkq9Xhc3jGQyiUKhgO3t\nbczNzcmMFrOf1dVVURsCQDweR7vdRr1eh2VZCAaDqFarWF9fF2Vkv9/HN998g9XVVQSDQZlZazQa\nqNfrcoydTkdEIv1+H7lcTmT5n3/+OTY2NuDz+dDpdCRDo4+mZVmS9XLZKd1DNjc38ejRI7x48QKt\nVgvffPONSP45zE3D40wmI7/T1dVVbGxs7NvQ/ec//xlffvklSqUSTNNEJpOR4MXRBg6RF4tFCaaF\nQkHEIczOuJ6IZb5Op4Pf//73SCaT+Oyzz/YpWk8C379Go4Ht7W3ZNH4Qfobda3t4LJw5BPYuunTt\nzvXH+6//+q8nuf2JbqxcHlKpFHq9nrh70FuQDhO0TOJwLrMLj8cjGQZP9idRlfFqvVKpiNigWCxK\nVkEDYDpc0OqqUqmg0WhIj4dZHeX1FGKUy2VUKhVxyWfgY0+JA9FuR39mihxk7vf7aLfbePTokZj/\ndrtdZDIZKXdOTEyI5P3Fixfir5hOp/HkyRPpLVFFScEEg4jP58PKygpKpRKCwSBWVlbQ7XaRzWbF\nkZ+lQaozOXe3s7MjmSxP9KVSSQLg9va27HsrFAriEnL//n0JloPBAI8ePcJoNEIymUQmk8HLly/x\n6tUrJBIJPHjwAOPxGJlMBq1WSxxggL0MPpfLSRBjiW92dnbfYDdLtz6fD5VKBS9fvkQul8M//uM/\n4tatW4hEIrK2h+MER8EAxd8FP3/8DMbj8X235RA+ABEqUZhDr02+Fg1sV57/7zg30uB2g5icnEQk\nEsHOzg4syxIxAsuA7C2xBMUgxz7Quwa4YDAo5URKwMvlsvg7JhIJESiw3Ef7KZaUnj9/jqWlJSkD\ncmEmFYKmaSIWiyGfz2M0GmFjYwMPHjyAZVnSTysUCggGg6hUKnI/liEB7OtzbWxsYHV1FZZlyY6y\narWK4XCI7e1tDAYDRCIRPHjwAC9fvpR9dG7vRZYYmdHUajU4joNkMolWqyVqy2KxKPdlj45bD4A9\nGT1/ByyvvXz5Uo6VJsnVahW9Xg8TExMIBoOYmpqCz+dDOBzG06dPxVqKqsW1tTUMh0NMT0/j3r17\nqNVqchEBAP/1X/8Fj8eD7e1tfPHFF/jkk08A7Bkvs7fJgEw3EwAyML+ysoKPPvoIP/rRj6SkyoyS\nM3gHS4O0wXIbXrN03ev1EAqFMDk5KRdNtBRzW2iFQiEZHqeghKIbXmwoV5pjBTctS94wpqen8YMf\n/EAGkCnr7nQ6YvLLeSaKH1haY0bA4HBcvF4v0um0OHyk02mZKaNrCU2A19bWRLhB6ymW5CqVCr78\n8ktsbW1JyY5zYTQS3trawr//+7/jj3/8oygibdtGsVjEs2fPUKlUYFmW9Oe4BaBQKIjbSSKRwJ07\nd+D1etFqteQEzADDK39mlzRRZraWz+flhNxqtWDbtrzPhmGINyVX1hSLRWxsbACA9N5YEqzVauj1\nerKZu1ar4Te/+Q3y+bxkPvR6bDabME0T6XQaiUQC3W4X9XoduVwOhUJB+mHBYBC7u7sSlCYmJlAs\nFsXSLBgM4ptvvhEJfS6Xw49//GMAez2+eDwuPUOKM2KxGLrdLsrlMizLwvr6OjKZDD766COYprkv\nS+OQ/fLystiScfCfpXFecPE993g8MvIQCARkGNsd+IC9sjLfP37eGNh0UerNQjO3G0gwGJSTMgCZ\nJxuNRjJPxuyIJTJ6EtKZn9nEcUUCpmnKyYiZn9slIhQKyUmp1WqJl6FlWUin04jH48jn8ygUChiP\nxzBNE6ZpioydJdR+v4+vvvoKwF6gmJycxOTkJBYWFsROa2pqSq74+/2+WEMlk0kkEgkp8fn9fgku\nnJkLh8Oo1+solUoSgHd3dxEMBveZAXPmjfN1NDKmtRgVlVSDGoaBTCYjYpnRaIR6vS6yeq6YYXkw\nHA6LmTPLcbVaDdPT08hms2IX1ul0sLKyglAohEajgXw+j3q9LiXpRCIB0zSxubmJUCiETz75BDs7\nO9ja2pLAEo/HsbCwIBcZnU5HAs5gMMDExASazSa++eYb1Go12QD+gx/8AHNzczKCQBzHwcbGhqhL\nmaVTLQpAypscqWD/jBsOeHHFjeKRSEQ2KbCMyQuKiYkJ+X0o1wItSyqH4zgO1tfXRTHJEwtP6MFg\nUPoqdAlxBzlmTBRCHEd1xitvlkPdvS1upQ4EAhKkGo0GQqGQCDrc/Rr2V5LJpPRTeKU/MzMjcn5e\nzUciEcRiMVFiMmgNh0M0Gg2R2jOY8zEnJiYkuE1OToq1VbvdljJiPB5HpVJBOp1GsViU12tZFubm\n5mQejY4kfHzK1Cmu8fv9Um7j3jq3dyPfN14QGIYhBtXuZa3ZbBaJREIGx5nZGIaBP//5zygWi+KX\nGQ6HJQBw2allWWLYnMlksLCwgEqlAo/Hgzt37uxzUaGV1+bmpmSGpVIJw+EQc3NzEmhYHgVeK3ef\nP3+Oe/fuSTbL0Qt+DlkO5zFxaJwLXNmPo6KVj8/sj+8JFbvKtUKDm3I4Ho8H2WxWhCXuvWLValWu\n6GmzxIDm8/mkZ8JSEhVoDH4AZLj4oAsFsxf2p/j4FD0Aez2X+fl5UR4y07EsC9lsVpaVcpEoRSLB\nYFD2p0WjUTx79kzmrNxX/Ow78ecUsrBUCEDk4lQ9ciFnMBhEOBxGPp9Hs9mUrIIn21qtJq+VPSAe\nZyqVklIw/Saj0Sh2dnbg9XrR6/WQzWal5FYqlSSDo1tIKpUSM2VmvNyc7fV65QKCZUNakaVSKbx4\n8QKvXr1CPB7fl5WzLEyPys3NTXg8HqTTaXzwwQcyi/fhhx8ikUigUChgZmZGNqU/evQIr169QjKZ\nxPb2NmKxGEKhENLpNFZWVpBOpzE7Oyvv/draGtbW1jA3N4dkMol4PI6ZmZl9i1apvOSgO4U1DH7M\n2qLR6L5yMDNV9lPpt6lcO7TnphyNz+fDwsICTNPErVu3JHuZnp4WQUWj0UAgEECr1ZL+EjM9uoZQ\n3s3eCRV7uVzu0NEBlrUeP36MarWKjY0N/P73v8fGxgY2NzdRq9Xg8Xhw69YtGWZm+YvZw9TUFHq9\nnsyAUe2YSqWwsrKCWq2GbDYrtl3b29vI5XLY3d0V0QgDEsuJnU5Helbch7a6uord3V3JMlutligs\nWd7r9XpSqj1IuVyW7JalxG63i2azKa4pHALn74TjDRT1MJAHg0GZfSsUCnIi530qlYpYhtEYmeXD\ncrmMJ0+eoN/vy5A2+3Q87p2dHbx8+VLcWpLJJBqNBsrlMkajESYnJ7G+vi7OM41GA0tLS6jVarh9\n+za2traQy+UkMOVyOdy+fRuLi4uo1+uo1WrY2trC7u4u7t69i1u3biGRSCAej4twhGVJinHo08my\nLH/XoVAI8Xh8X0nc7RupgU0BNHO70XCRpW3bomJsNBpIJpOi2qOQwd3sZ7Zmmqb0fWzblsFnyvWb\nzaaINNzP6TgOwuEwGo2GSNIrlYqo+Oi43+v1RJbOK3KKAige4cmUriKGYSCXy8nJksGD/oa88jcM\nA36/X9bQ0N2DnpXValXWwrD/Z9s2tre30ev10Gg0pF8HvHbAOAgHo/l+WZYlpTXOxjGDjkajCIVC\nKBQKACA2Vwx++Xxesux0Oi3vJV1DwuEwFhcXEYlEsLKyItZSjx8/Rj6fx9TUlDi9BAIBbGxsSL+O\nc4RcfZNIJFAqlRAIBJDNZhEOh5FMJmGapghxyuWylDbX1tbw4MEDeDweVKtV3Lp1C7Ozs5JNVioV\n2LaNbDYrgiIAMo9WLBYRDAYRjUb39Rzd++24EYLVA+I2nuZ6olgsdq7+lcq5opnbdeCkg9MnJRQK\nIZFISP9oenpaPAPZH+KySs5ZsVSVz+dRq9Vgmqb0lMrlMmzbxtTUFPx+P3Z2dmS1DInFYojFYpid\nnQUAfPzxx+h2uyKx55qUbDYrQ9xerxfNZlNmwmKxGG7duoWtrS2Uy2Vxz2CZKhqNSkkzFAqhUqlI\nKZG9Q44ZcKULB8BZCuNMGvtZ4XBY3hvOjrFM+KbdZJSjc4eZbdvisk//ST7eixcvZECdGSMd7Fki\nZRAfDoewLEt8H2dnZzE3NyfBGgDW1takHzY1NSUCDGarXPVjGAZisZi4tHQ6HRG08GKFvpT0r9zZ\n2ZFgNzU1JSbRqVQKMzMzUvqkowr7XxyorlQqaLVaqNVqkoUCkF4oTZvdg+wHZ+Oo5uVwfDwel712\n7/vdYV/5rL+DytmgxmqXnHq9LqWasxo+pWcgBRPcmMyMjVkPswsaB3Ogl/6N7JN0u10EAgFZKkrP\nR16tU27Okxkl91ycmUql4Pf7pazIDDIYDMrwdLvdxocffoharYZcLodIJIJms4lsNitO+CzlcXs1\nM6DJyUk0m000Gg3ppwGQ4MdZvnw+j0QigfF4jMnJSTx8+BCvXr2SlSkA9u07Owpmw3QgoaCEZVwG\nqidPngCAyNYrlYocH+fnut2uDOBzMSnLlQwmVCuyFMg1NFS8MutkZlOpVGT+azAYYGZmBq1WC5OT\nk1Jm5pqctbU1LC0tYW5uDouLi1K2ZR9xbm4O9+7dk43mdGzh62ZPkVk9e2137txBJBIRpSPLquFw\nGLu7u9je3sZHH32EVCol76t7hIVZdDgcRrFYRKlUwu3bt2XN0EnhTCcvhnSM4OqhZclLDvs5XIJJ\n8cVpl1zYa6Kwg7ZKlIpTCMEAy6touozQsJciBmYZnFNzWzQBEHk3Xx8zxGKxiJmZGemv8Pm5VoXZ\nodfrRSAQwO3bt5HP5xGLxcRVg+7vvPJvNpuyaZslMg74MhMFIOVStzkyT7ZerxfxeBy2baNWq8nO\nNsMwxEdxOBwe6cFJt38AUloMhUIilmCw5G0Nw0ClUpEhcLdfI7dw86TOoJFKpcRHE4DszvP5fJic\nnEQoFMLu7i7a7TaazaZsVqD3JP06uSyV4xOdTkfGEJ4/f45UKiUqWl7o0KB5YWFBhqWLxaIEBl60\nAHulSAZoDvbzQqTT6aBcLqPZbIpIZ2dnBzMzM7h//75kbixn8ntBxST38U1PT+9zMTkuw+FQMt9Y\nLCaqUPeYgnLhqFryOkCpPU8QbJrzRHdaCxbpbWjbtogNePKlOz5tsliy5JxYIBBAJBJBIpGQq2/O\nywF7J2ueuJiB0TSZsnLK/B3HkXkt9vgMw0A6nRYHivF4jGq1KsO53BaQSCRQq9Vkjq1QKCAUCqHZ\nbMpQM4OoO6C5LxRs25bSps/nE1EIS5yGYUiGxftzFIIB6DDY5+L7QOUfe3Du0hdHI9rttigDqRxk\nebPT6cj8HN9TBn7TNFEqlbC9vS2WWl6vVzZvMwuk3VokEpEVPvTWZHZZr9cxPz+P4XCI58+fy2JU\n7pnLZDLyPlMkkkgkZCxicnIS7XZbemWBQEBKsZwPZJmy0WigWCzKhRC3CywsLGB6eloyPXdgs21b\nnFs43hAMBpFIJE50Aeh+TJZ+WVng55eKVOXC0eB2neDJlrNgbvsoAKeSzbFp3+l0xCCYghO6iHAA\nnP/mlvVzfo3BLhAIoNPpiI8ge3UcFaAtFbDnLMEZLAbGYrEopsQ8mQ4GA1HXsfcWj8dFeZnL5WAY\nBubm5kThyTk4r9crx/qmLQfs73DeD9gLLrSY4iwXAHkctzHvUbC8SMsqjlMcLGnSIcbdq2Q2x8Bz\n8H4s0XF7+Nrammwy4IWEe62QO7Pmjjtm6v1+H7dv30apVEI2m0UkEhH3/+npabG3Ytm63+/jb/7m\nb0TA0mq1kMvlxIU/FovJHjUOwe/u7soYAvDa+oxjDRTZpNNpTE1NSbbHGcROp4NGoyFjKVw1VC6X\nMTs7e+yLPj4eL3wYHN3fJf6ZFwXKhaPB7SrB8he/rAAODVYMcswW3LJ2ZiHvk835fD5Z7BiPx6V/\nRlFEKBSSHWfsWdFthBkHAOmpRaNRyeRYOhuNRiiVSvKYAGRr9O7uLmZmZlAqlTAYDFAsFtHtdqVn\nRReVarWKFy9ewLZtpNNpJJNJvHr1SkyZZ2ZmRLhBmXgsFhNByNtEAgxu7NPx9xKPx1Gr1fYFMjps\nvG0BLH9P/PObMj13uZRD2wd33vF9Y2+Knw323Hw+n5RrLcuSEQM+PgAkk0lUq1XJrkajEaanp2WA\nOpPJyMxhOByWQXP+LhzHwY9+9CPMzc0BgIyQTE5Owu/3izNKq9XCzMyMjGSw1MnSITM7LnZNpVKI\nRCKyMon+ngxExWJRSqKxWEw2gc/Pzx+rP8YLC/fMIEcQDsPr9Wp58vKgwe2qwazEbQLLE6I74PE/\nzjgBrzMIZgfu250U9snYD+HcFz38qKxj4BoOh/jtb38rV7aU1PO42NTnVTKzMJaYOKfm8/mQz+fx\n9ddf4/79+zKgvLu7i2q1isnJSYTDYemzUH5frVaxsLCAQCCAJ0+eiLDE5/NhZ2dHBtXdtlfHhbNg\nFG3Q4PngY3Dg+7Q4mM3xM3HUc5qmKbZmtAGLRqMyzM2TOTd88z4cruYIhNfrxZ07dySo7+zsyAXO\n7OysBBHTNKUUOT09LVvAX716hYcPH0owoEsKRUnFYhGRSAShUAjhcBixWEzcX5gRM3Nyl7a5usey\nLNmPxyDcarVgGAZmZmaO5UbCzzYvBln2f9tFoZYnLw0a3K4StFOimOGgHRWv5BkA3ZkaAwpPdHwM\n9rTepWTJq1RaLHFPF8UtAMSxw+PxYHV1FVtbW2IEzPU2VALyapolSj42j5XrSSKRCH73u9+hUChg\nenpadrUVi0UpcfHEt7KyItu1DcPA1NSULN9koO31ejIQzKFmt3jjIO6SJS80CHev0RrMnamdtVz8\nsMenmAXYK+umUikxnuZ9uOXbnQWScDiMZrMp82OO4+DWrVsywM0BavY8y+UydnZ2EIvFMDU1hVAo\nhA8++ADPnj0T5SwveugBOh6PsbGxISMXyWRSeoRzc3OSmeXzefF/5P+52Xtubk5UnrlcTvYMUtRE\nZe7bAhsdY9y/U3qUul1O2Hc9CAfq+VqUC0OD21WEJ3/Ktml7xf842MsvIzM1Onjw7ywRUmrt7s0d\nh83NTZFC8yRDcQNP8lz6SZd39svW1tawuroqM1LAXrCkITEHw+kXyQyM/aFIJIKnT59iNBqJM0Us\nFkOhUJAZtkePHmF7e1sMf9PptIgd1tbWxICZ2UMoFJJe2psyNw5+HxZMGCT4Hl807pN0LBYTkQl5\nW8ClkIXzZ7FYDPfu3ZMBbY6gTE1NwbIslEolTE9PS291bm4OS0tLePbsmazcqdfrKBaLUtJkxuYe\nhUilUpiengaw5+LSarVkhjISiWA4HCIcDiMSiSCZTKLX66FarWJ3d1d6n4ZhiErXMAwZTTnqdTIo\n8eKFKk5375NbMg4rT9Ithcbf2nu7UDS4XVWYjbn99twBjX01Bj7aKTEwUrzBVSvuTMnd43pTNkdJ\nPaX9wWBQ9o/RZJc9Mw4427aN8XiMVCqFbreLJ0+eoNPpiGXTysqKKAB57LFYDOFwGNVqVdRqDx48\nQKPRwM7ODhzHQb1eRyqVwu7urgxZ//a3v8XKyopYW3GfG0cMdnZ2sL29LVu+WVLiyYnvw2EcFRQO\nKw1eBjweD+bm5rC5uXmi+4VCIcRiMVl7w4uPlZUV2QhABxrOs43HY8zMzODhw4eoVqt4+vQpstks\nvF4v8vk8TNNENpuVsjK9MxOJBKanp5HJZMTnk+bVLFHTAi4ajSIajcoevi+//FI+88lkUo6XVQwO\ntR+EQavf70t1g6VZZmZu6T8vxtyBi6XQTqeDQCDwPdsv5ULQ4HbVYdbEvtTbxCLuoEdrLJbkmJGw\ntMLA55bCH1SI0TuSA8+BQEBKRizNUKVH5STdNuhxuLm5iaWlJemV/fd//zdWVlYwMTEB4LUFGE9u\nlmVJORaAeCY2Gg0ZB+AgM0tfdPFgs5/lTjr6AxALJ5oxs6d0XeBYxnHhaANXAFE8s7Ozg2KxiOnp\naakWcLltt9vF7OwsPv30U9i2jS+++EJ6odxNNz09jenpaeRyOeTzeRiGgcXFRdy/f1/KhpyZpOKS\nZfbxeCyKyt3dXbx69Qq//e1v8d133yEWi+GDDz7A9PQ0IpGICEv4GT0IxSKcrXQbATDIcXsALePc\n5UnOZna7XbkIO2j7pVwYxwpunjdJog/hRDdWTg93gGN557gwa2MWxytwt2EtpeYs8zCzo4Ain89j\nPB5jenpaAhkzIlpKsTnPDKlcLovce3NzUzYMdDod3L17Fx9//DGmpqYQj8fh9/v3WR09ffoUy8vL\nCAaDWF9flx7c/Pw8nj59KibEHNbmgHQgEMDi4iL6/T52dnawvr6OXq8nyk8e8023VIrFYggGg8hk\nMlLSpMFxOBzG7OwsarUaRqORjE+k02n89Kc/hWEY2NraEr/Kubk5vHz5ErlcDp999hnW1tbwox/9\nCLdv38a9e/eQTCaRy+Xw5MkT+P1+fPbZZ5iYmJDKgGma2N7ehuM4yGQy+O6772RvXSgUwsOHD/HX\nf/3XyGazYlPGTeZu38r5+XnpNfN7QhEUKxzunjX7dW5RFh1feIH0JgWlcmEc6wpDf2tXBPY/6Chx\ncAHkm2DQYRbHq1H2yx1sqLkAACAASURBVNhDcjtssATHEmI2m0U+n8fy8jIWFxcRCoXg9XplXQxV\nk5Rn04/xm2++QTQaxd27dxEMBrGxsYFOp4Pl5WW54uZzcNM0V7RYloVwOIyFhQXJKnZ3dzE/P49y\nuSz73li6DYVCsCwLz549w49//GMRtAAQ1R1w9uKPyw5HNKgS7HQ6oopkiXtjYwO2bctFQSwWw8LC\nAkql0r7eVLvdlk0Mi4uL+O6779But/FXf/VXMtS9sbEhmww4K9lsNlEqleDz+fDq1SvUajXEYjGs\nrq7KqMXs7Cw++eQTTE9PS2l7NBrJ0lnO89m2jenpaWxtbYmnKbeOU1hEIRQ/3xwepziJF3/8bHDj\numZqVxfN3K4gdNngRuqTzt2wlMf5noNfcoolKF4BXivNfvWrX2E0GuEnP/mJOMy3Wi2xViqXyzJY\nzZ7KkydPZNlmt9vFF198IQa7P/zhD2Vr9C9+8QvJTsvlMpaWltBqtTA/P49Op4PvvvtOTHaz2ayU\nwQqFgiy85Gbs+/fvY2pqCktLS8jn86f7C7jiTE1NSenaMAysra3Jv6VSKViWhdFohFQqJf3VxcVF\nkfUzMHJAnsGDjiI//vGP8dOf/hTRaBSVSkXGDcbjMT788ENkMhksLS0hEAigUqmgXq9jbm5O1JCW\nZeH+/fv45JNPMDk5iWg0KoKTSqWCdrsta5Y4AsGLqg8//FC+Hyy5U0DCCgVfN4+ZozP8d/fnXrmU\nHOuKQ4PbFYYlFJ6oTnqV6Xa6OJgJMsjRyWJ9fR3hcBjhcBhffPEF2u027ty5I4soqdKrVqvI5XJI\nJBJyohmNRtjY2EClUpHS1MbGBnZ3d2EYBn7xi19I72RiYgL5fB5/93d/h263iz/84Q/o9XqYmZnB\n2toalpeXZaaKJySOGbAvUq/XMRwO8cEHH6Ber+Ply5en96ZfA27duiXl6FKpdOhtuLkB2LPQ2tzc\nRKvVwuLiIgDIez4ajdBoNNBsNhGNRvHw4UNkMhn0ej3cuXNHxlgYFPv9PiYnJ2VtEA2abdvG5uYm\ncrkcPvnkE/zDP/yDZGsc9djY2JBAnM1mpeSYyWSQSqUkGHOHHnvWVIWaprkvELP0CGDfvyuXHg1u\nNwH3F/Vdv5zuK11e1dZqNVljQ8XYixcv4PF4JCNqtVoIh8O4f/8+UqmUDNNyWWkgEMDc3Jwozegq\nzxNluVxGtVqFz+dDKpWSAOfxePCTn/wEqVQK9XoduVxOVG5//vOfxcy31WodOticzWZlySlFKm9S\nR940wuHwvlU0hzE3N4derye/N2bntFWjB2WhUJBtCiwF+/1+3Lt3D+vr6/D5fEgkEpJZ80Iqk8mg\n2WxieXlZxj0sy8LHH3+Mv/7rv0YsFkMikZDN8Ax8o9EIH3zwgWyMWFxclIs7DtrTw9I9uO7uM7Ni\nQf/Kd704VC4MDW43ifcRnBx8DNu2ZaYslUphYmICpmni5cuXePz4MRKJBLLZrBjzjkYjZLNZ3Lp1\nC81mE5ubmwgEAqjVaggGgzKvROHAysqKeAtWq1VZJkpLp8nJSdy/f1/EK7VaDePxGPl8HqFQCH/5\ny1/ERLharR76WigaoYDmJK4kNx3Oj9G/E9grUXNsg+uFuOoIABYXF0XNOjs7KwbYdETxeDz49NNP\n4TgO7ty5g42NDbx48UJUrH6/Hz/72c8wOzuLqakpAMBXX30ls57VahVerxdTU1N4+PChbDpggGKQ\n4lgBlaPj8RiFQgGff/45DMPAP//zP4uw5F3L+sqFo8HtJsIv+kkEJ264rJKmwaVSSU4ayWQS9Xod\ny8vLYoMUCAT2ycY5gF0oFPDw4UMMBgOxapqbm0OtVkO9XhfH/ZcvX2Jzc1PEKDs7OwgEAkin0xiP\nx8hms5ibm8Pdu3dRLpeRz+dlPACA+Cgqpwd/z8Tv94snKDebc60OAMzPz+Pu3btSgoxGoyiVSqhW\nqwgGg7h3755k2fSCLBaLEtgqlQo+/fRTfPLJJzAMA81mEysrKwD2LMTYk3v48CFSqZSMDHg8HliW\nJZ87Cpu4faLdbmNra0v2u+3s7OBf/uVfMDs7+87fD+VSoGrJmwbLLlQQul3Wj0uv1xNRiM/nQ7vd\nRiQSgWVZop57+PAh/vjHP2JxcVH2bXFTN8UDpVIJjuNI76bRaKBWq2FhYUFWilDtGAqFsL29LTNu\ndIvw+Xyo1+tot9tYXl7Gp59+Kmo5LudcWFg48fCy8mbcgY2OIoFAALZtfy+wZbNZzMzMiAHy+vo6\ntra24DiObMV++fIlJicnkUql5HfKpaW9Xg8LCwtoNBrY2NiQbJFregqFAiYnJ/GTn/xEnFJYhrdt\nG7FYTNxnuMut1+uh2WxKyXQ4HKJSqSCdTosal/OayvVFM7drRL/fR7lcBgDpjbA0x54Cs7qj4I4x\n/kdH/VarBcdxMD09LW4fuVxO5oyYefV6PaTTaezs7GBra0v2ifEEdOfOHUxNTckizqdPnyIWi6HZ\nbGJ1dRWPHz8WhxVg7+RJ54qJiQnMz8+L/LvZbMLj8chGAuX0CYVCYqPl3i8H7CkrOS9Hr9Neryef\nPZYU0+m0uMfQmYTzlHT8oBl3MplENpsVY+z5+Xn84Ac/QCKRkEWmXH0UDofFiYfuOwy+DGr8XLTb\nbfzt3/4t+v0+SqUSPvvss4t6S5X3R8uSN5VOp4NmsykCEW7PNk0Tm5ubCAaD4id4GFxU+Z//+Z/4\n4IMPxLW/Wq0iGo1idnYWsVgM9Xodtm2LowT7MKPRCIlEAqFQCKurq2KoOzU1BcMwMDs7K/ZJn3/+\nOVZXVxGJRGSDNhdduuGanfn5eVnayuWWytlBEchhZtPszXE+jkGNm9XD4TAGgwHm5uYkyFQqFXQ6\nHUxNTcky1AcPHmB2dlayet4/k8ng4cOHIn5ZW1tDq9XC3NycjAbYto1erycXbfQ8ZRCOx+NoNBro\ndrtYWFgAANy+fRuZTOb83kTltNHgdtPpdruwLEuuoOk4wqviQCCAiYkJcfZ30+l08B//8R8olUpY\nWFgQWffm5ia63a6sRmHgSyaTePr0qbiQ0L2dt61UKrh16xYmJibg8XiQTCZlB9ju7i7+8pe/oF6v\ny444t1iBUPWWSCTE85CuGsrZ4F5r5CYUCsl8pNvMuN1uwzAMjEYjmS/MZDK4c+eOGAiwbD4ajZBO\np/Hzn/8cyWRS1u5wFm1+fh6WZYnPqM/nQyaTkfuz9M7ffzqdluzN6/VKZvnHP/4RCwsLuH//PmZn\nZ1Xuf/XR4HYVYemFM2W0lXof6MNHNSWwFygY5EzTFJm3W2U5HA7x61//Go8ePYJpmrh9+zYWFxex\nsbGBra0t+P1+TExMIJFIwLZtBINB5PN5DAYDWUpZr9cRiURQLBblapxrdDKZDNLptLzGlZUVbG5u\nolAovHGRZyAQkLEHZpkq9T9fKAahUTc9Sw/L8LLZLBYXF9Fut9HpdKTnmslkxIFmYWFBSo+DwQDp\ndFrmLOv1uqzLobUWxSTtdlv6tvx7OBxGIpHAeDzG1tYWGo0G/umf/kkurJQrjwa3qwqNgCuVimQq\nRzmfn/RxO52O+CvypMSTgmmaEmx4ddvv97GysoKlpSXprXE8oNlsysmItk2macq6lO3tbSwvL2Mw\nGCAQCKBcLovk3zRNzM7OIhwOY3t7G9lsFolEAs1mE3/605/eGqyi0ei+9S7K+eBedkpYEThsDVAg\nEMC9e/dgmiba7basJ6J92yeffIJIJIKJiQkZzp+ZmZFSOrepJ5PJfVvUWXZ0C5BoE8atD6wofPzx\nx2LUrVwLNLhdB+r1unxx4/G4zJy9D4PBQHoVNIf1eDyo1+vi25dMJhGNRmXeqVarYW1tDe12G2tr\na6hWq5iamsLs7KyIOlqt1j6T2nA4jEajgfX1dTG3ZZ+FWwoWFhbEwNkwDMzPz6NSqeDx48cYDAan\n9C4qZwkHqI9icnIS2WxWbNk4ZP3xxx9Ldgbs+acuLCwgmUwCgPRVDcOQLQK86OIwtm3bEjQ540Yb\nrdnZWczOzr7390W5dGhwu050u13UajUJPolEQk4C7wqdR2zbFieJ8XiMWq2GZrMpq0Ci0agMeD97\n9gyhUAj1eh3ffvutzCBNTk7CcRxYliVLQinnHo1G2N3dRa1Wg2VZ8vjc6E1xC3s7dL9YXl4+jbdO\nuWCi0ahsVZ+bm5O5uKmpKemxJhIJzM3NwXEcGRthpub1epFMJmVe7eOPP0a325Ug5g5qXE+TyWQw\nMTHx3tUO5VKiwe2qwCvX43wRHcdBs9mUdSTxeBypVOq9BlLpDck5s3g8Do/Hg2q1CsuyZGsxABF7\n9Ho9BINBfPnll1hbW4Pf78fCwgJSqRSazSa+/vprOI6Dubk5JBIJ5HI5BINBFItFbG9vy2JMjhnQ\nF9AwDITDYRGhHOV9qFwNkskkEokEut0upqen8emnn8qFGT9TqVRKZjHL5TKazaYMZ1OpyWyPghJW\nB6iQDAQCMvOWTqePVAIfhL6XXF6qXAk0uF0VKOzgPBq/tG9rftu2Leaz4XBYhmbfFZrgWpYlThIM\nptz3tbq6ivn5eel3ZbNZFAoFPH/+HMViUTYLGIaB3d1d2dw8Ho9FSVcul6U0ya0CnJNiCYliEe2r\nXV2oxB0Oh7h79y4++ugjmWMDgMePH4udV6vVgs/nQ6FQALBn3Ly4uChD224XEo4gcLYylUohGo0i\nEAjIwPlRsF9HVaVlWYhEImLSfBCuyuF/U1NTWua8eDS4XSW4hoZ7pbiHikINGr0eBoNSo9GA4zhy\ntfyukufRaIS1tTUEAgFEo1FEIhGMx2O0Wi38+te/hmVZmJyclL1wd+/ehWmaWF5extbWFr777jv4\nfD6EQiE5KczPz8M0TRG01Ot1cYbncDC3MdOvkqUm5erBUY1EIoF79+7hhz/8IcbjsXxucrkc2u22\nGAuwNO71ehGPx5FOp2VWjvNygUAAd+/elfnGdDqNmZkZBINBhMNhpNPp733m+b3icl32Brk1gAIU\nNzQjONiXDofDGtguBxrcrjIslzDgsZ/g8/nEUuuwYGdZFur1umRfiUTi2CUa0uv1sLm5KSefaDQq\nM0O2bWNpaUmMlekIEQgEMD8/LwO3S0tL2N3d3bf9OpvNStBqNBqwbRv1eh1bW1v7xCN8fezJKVeX\nTz/9FD//+c/R6XTQ6/WQTCZlz1+pVILH40EoFEI2mxX/Sr/fD9u2MR6P0e12ZV7z008/lcWq0WgU\nf//3f496vS4Vj0AggI8++kj8Vd1rbTg+QNce/pnlUH7XbNuWvXQMaOpBeenQ4HadGI1G8gVkhsPy\nJe2LDs6oNRoN1Ot1cffnCpvjwpk7rh0JhUKIx+MYj8eoVqso/f/svVmTG/d1PvwAaAANdAPoxj4D\nzMpdlCLRtlwup7I4lcT5AKnyJ8j3yFv5KrnIRXKfizh2yinbkiPKskRxGZLD2TDY1240dvwv5n0O\nG9BwFSVyZvqpYomaBbOwu8/vnPMstRqq1SqGwyFmsxnC4TAymYycfBk+SWcJusozRZumuQcHB6d+\nfa9zO9tYWVnBT37yE+mMyMalw0wymZSdrKZpEn7qOA5UVcV4PIZlWeIhycJUKBRQKBRQrVahKAqi\n0SiSyeSCxMB9T/Bg6PP5JKEgFAqJZReNlgOBgGjmnjcp8fDW4RW38wqO7djVuanU7Hrcxa7b7aLT\n6cBxHOnCXkUcPh6PZRRE376vvvoKDx8+xPXr18VvkvsMRVHQbDZhGAZ6vR6+/vprlMtlCT4djUaI\nxWJC56bJrYfzg2KxiBs3bogwe3d3F/P5HMlkEqqqIhaLIZlMotPpiPwDgNhnMV2A7jmWZUkx3N/f\nFxJVJpORP6qqIhgMyi6OYaWKomA8HstrU94CQMhSJKl4Be1MwCtuFwXT6RTT6VTSs+fz+UISMVln\n1LKRfs2A0Je5oSeTiezPaHL8pz/9Cc1mE5FIBPl8HvF4XAxz6/W6PKD6/T52dnZwfHwse7jRaIRo\nNIpGo4HRaCT7Qg9nG5FIBIZhwDRN+Hw+1Go1iS7a2toSI2/KUBivRD9SEkbC4bAE0gaDQfj9frF+\nu3nzJj744AMZu+u6jvF4jHa7LbZtW1tbaLVaKBQKCx0g/UnZCfIg6OFMwStuFxHs6jjGnE6nGAwG\nePDggRQ00zRFOD0ajcQK6VksM+4vwuGw7PMePXok7MhGoyF7ir29PdlxBINBFAoFpFIpfPrpp7h7\n9y50XZdoHAZGDodDTKdTMdX1cPYRi8UWuqJisQhN08QKLh6PQ9M0RCIRSYH3+XyIx+NoNBp48OAB\n5vM5NE2DpmlCBsnlcrh16xZu3bol8TkUe49GIyFBuaUr8/lcJC6maXoBpWcfXnG76OCNr6oqbNsW\no+H5fL4Qg8OAx1gsBtM0xQSX1lzBYBDhcBh+vx+9Xg8HBwfy/p2dHXS7XYmfoQC31+tJkGgqlZJ0\nZHpQcixKD0me5mu12kKemIezC7/fj7W1NeRyOQSDQTQaDXQ6HayuriIej0tkTa/XQ6PRkALHbi0W\ni0k35/f7YRgGrl27JvmCDLn9i7/4CyF+kH3JSQWvaV3XPcPk8wOvuF10fP311xJToygKstms7MVm\ns5ks18kG6/V6sG1bHNVTqRRu374NRVGwsrKCVCqFQCAgwtnBYIDZbIZyuYx6vY7bt29jMpnIaf34\n+Bj7+/twHEceXExz5qk8Ho9LYjNP4o1GYyEQ08PZQzAYxObmJpLJJAaDAQ4ODuDz+ZBOp6EoChzH\nQTweR7VaFRF2KBSSvZxhGBJpo6qqEKLIoIxEIrh06RK2trYkZofsSJ/Ph2QyiWQyiXA4LGQRj/V4\nbuAVt4sOdkLuHRf3CzzZAidjRzLM5vO5BIH2+30Z4fBBY5omstksdF0XI+a9vT2USiW0221UKhXp\nFuPxuETSsDvkCZ2Gt/Sv5EPMsixJ836eX6GHdxcsYKqqotlsLrAW3W483AlnMhkAWAipDQQCEqfE\nzw2FQlhfX0csFsONGzdw5coVIZ+wgCWTSei6jlAoBNu2xe1kY2MD2Wz2rf1O3haoG+Xv/Zx0r15x\n83DCPrt7967sM7hEp+6IlHzu6YCTDi6ZTErKdq1Ww2g0EgFrIBCQriscDuPJkycIBAKo1+sYj8fY\n29uTtOV6vS4UbpJeLMsS9hoZnHwfuzs6vXs4e1BVVchNwAnJhH9XFAXhcFgo+9PpFLFYTHavjMRh\nl8WRZCAQgK7r+MUvfiFm3Y7jCHHK7/djMpmIOQCDT8kOXu7a+NB376hHoxE0TXvnC4D7e3/RH+r7\nKB+KxWJv+9t/E/CKm4cT7O3todlswufzif7HsiyJ1IlEInJ6pkibDiPRaFSKEfO0GHtCKcLh4SHm\n8zkqlQqi0SiKxSJmsxkODg7w5MkTeeBQzM0RFCUKABbiUhhmytGnh7OPWCwmo2Z6QNJujZq2QCAg\nmjSmSvj9fsTjceRyOei6jkwmA9u2YZomisWiOIlQDE53HlVVpTCygM1mM/k7WcV8O8fm6XT6jWQo\nviqWixIA+X75/+zAWLA4eXGL1IGn7iv8f96rDII9B/CKm4cTTCYT7O7uSnEDILohy7JEXGsYBuLx\n+IJtFq29Dg8P0e/3EQwGoaoqZrOZPIBCoRCOjo7wxRdfiG1YKpWCYRgy/rxz5w6Ojo4kO+5l4B5T\neTg/YNGJRCLSSbgdeDgan06nWFlZwbVr13Djxg0cHx9jPB4jkUjICDIajSKXy4nZN0edZEOyQPh8\nPikM7pEocHJ/0ObuTevcWJDcBco9JnQXNHdBYrFiMXIXtFf5Hmmo4HZjOQfwipuHp+h2uyiVSiJe\nHQwGkrwdDoclBYBRNzxR0+aLBa3RaKBUKkkXBkBIJKPRCHt7e6jX6yiXy3Ja5HiSwaSUAXi4eOB1\nxWtsOp2KdyoNAPj+fD4PwzCgaZrsgDOZDAKBAHK5HG7evAlN0+QAREavu6CwQyNTt1ar4fj4GJub\nm/jJT34iu7xXefA/r0CdNhZ8VoF63YL1sjinhQ3wipuHZfBE3O/30Wq15ATrHt3QHomjG1oRuW/U\nBw8eQNd1Wea322188cUXchpngGSn00G9XpfxpaIoaLVab/vX4OEtgdeSpmkykoxEIqKhZEgux+EA\nJO6GDN6trS1sb28LI5ddIL1Yl/Wdw+EQ3W4X7XZb3EkSiQSuX7+OTCYju7jX2WO9zJ+3BcZJ8eBw\nzuAVNw+ng3ZaiqJgOBxKNxcOh+XvjAOhlyVHJvSV5A5tNBqJOTJPx/V6XZxHHj9+vPC16UbhdW4X\nC8FgEPF4XJz4/X6/+DtOJhOEw2Gsrq6KCHs8HmM2m0HTNORyOaTTafh8PkSjUXG0CQaDWF1dFcIJ\n5S28vljkIpGIyAKYVEAi1evusd5lzGYzDIdD8Z09h/CK27sCLrx5oS3fIO4b6LT/vkkcHx+j0Wig\n2WwCgOzQqB+az+eIx+MSYWNZFkzTXIjkIaGEDxVVVTEcDsXiiIzJL7/8Er1ez8tk8wAAcg8wlTsa\njUpqdiqVQiKREFuu2Wwmo/BqtYof/ehHME1T5Ce1Wg35fB43btyQ5IDBYCCsR47SY7EYQqEQLMuS\n1xwOh8Li/Yd/+IfzQrIAALmP3YzTc4iXejCey7L+roEjP2ZDuZfa7gLmXjq7//uioveyxdHn8yGT\nyUhGG/VvHBFxf8H5fDweR7/fR6VSkXRjjmbc7iYsit1uF7VaTaQFfr9fBOSUHni4uKDQ2p0C8cEH\nH4h4m6kA9JKkzjEUCuH4+Fjibai/zGQyOD4+lrQLEk10XYeu6/D7/Wi1WqjX6/D5fAgEAmIgnkgk\nsLq6KnIC4GkKhd/v/0bG21kA5RSeYP0EXuf2PWKZejybzRb2Xs/KaHtW0Vv+t3vRx/FG5tfmSHI0\nGqHb7cKyLOzu7iKZTMI0TUSjUQwGA9y5c0dOwqFQCMPhEF9++aUwIvm9Mz17OBxiPB5jf39/IZ2b\nyeH9fv87+O16OGvY2tqS0WQwGEQ6nZZrtdfrIZvNIhwOo9/vIxwOSyCpaZpQVRWO4yAYDOLatWtC\nRHHr5Wg/F4lEEAwGhbnLseR8PodhGDKaHAwGsCwL8Xgc6+vrb/m38+oYDAaSU3fO4Y0lzwJY7Phf\nnjCfV+xeB8PhEL/61a9EB6Rp2oJtEYterVZDuVzGeDyWCBHLskRzxjk+xd0UeNPgNhqNIhAIYG9v\nT0aeg8EAzWZTZAeBQMDzj7zAIIXfzZokfT8YDIrmLZPJoNfryfW1sbGBZDIp+zKKwUkoIWuSUxJa\nvPHaVlUVuq6L204ikcDm5ubC3pm7wbOwW3PjAhU2wCtuZxOnFTsWuuVA0lfFzs6OdG9czjMzy01X\nHgwGaLVasCwLtm2LcFvTNPT7ffECHI1G6PV6ODw8FJE4P7bb7aLRaIh+CTiRI5TLZUlZfsVrz8M5\nAAX87Mzc6RAUUdMEORQKYTAYyBjdsiwUi0Xkcjkhg/j9fpimiQ8++EBeh/R/Our4/X5omiZicR7c\naPHFvwMnhKd3rbC57xP3NIYyChbyszhKfU14O7eziEAgsDAzd9tWuUNJX7XY8aagC/90OsXDhw/h\nOA6i0Sg0TYOu66IVouODoijCnCyXy4jH4wgGg6jVagsn508++QSGYSCTySAWiyEWi0lYKc1xx+Mx\nVldXYds2er3ewonZw8WA+9+8Wq2KBMCtdRsMBnKN0NW/3+/LuHtzc1OYkHQq4cOd5C1G7nB6oCiK\nsHqDwaAcumKxmNwT1Hs+C89bCzxrRfCiz3vWxyz/nfZZvHfH4zEGgwHy+TwAXJSO7ZXgdW5nDNyX\nue2E2Nm9TPAii1qpVJKbxLZtOI6D+Xy+EG9DASi9IZvNpohwy+UyWq0WgsEgqtUqKpUKWq3Wwi4R\neLqkH4/H6Pf7QhRwF2sPFxe8bjkyZJ4fiU7ugxLZkbquIxgMwjAMMUn2+/3odDoy6uQYkntjt7SA\nrjoApOthYXteITqNqPUsctdpH39a4Vx+H0ervLfdRtMcr5KsxV3lu9htfsfwxpIXAc8rdvzvMhzH\nwe9+9ztxXA8Gg/K57pN1IBCQEFK/34/bt2/LGIcdnOM42N/fh2VZMu4kccS27QXPSDIsvW7NQywW\nEzITAIm44fXKEePa2hpWVlaQSCTg9/tRKBSQyWQWOj3HcUQQPp/PZfIRjUbRbDYxGAxw48YNZLNZ\nyXwDIL6l7uLwfchxgKdjRRaw0whm3L/7fD7xh+TPxnuXO8ULBq+4XUS4GZm8eU4rdqTu37lzBwcH\nB+IK8fXXX4s0wOfzIRQKIRgMStgkdUh0d1cUBePxGL1eD/1+X4S0JKBQV+ft1zwQzGXjKJFM2uWI\nI9M08dd//dfw+XwoFotIJpNCUGKiN8dzhUJBRvnUXL733nswTRPpdPob+ygWNvc477u6Rk8rYgAW\nCtnyioEfz8QCHkKZ6DGdTqXgX0B4xc3D8+UHfH+z2USn00G73Ra7LJ4WqU8bj8eo1WoAsBBHwjEm\n9Ue9Xg+dTgeWZWE+n6Ner8O2bQAnDxQvhPRigyPvwWCwYIydSCRE5M1xYiqVEku3K1euiG0Xr19a\nbpGAoiiKvEY0GhVWJk2S2Q1xmuAubM8bL74s3AXM3Zm5O7Blfat7/Lj8X74mP5cHRwBYXV09r+4j\nLwOvuHn4Ju7cuSPjDbqws5uLRqPw+XxotVqSx8abajAY4OjoCN1uV8ZJXMrzFEyWWrfbFQcTOpRw\nN9BqtSTQ1MPFAmn+AMTlxjRNGTcahiHXYDweRywWQzweX/A2VVVVUitGo5HsynitBgIBhEIhKVzX\nrl0TBiU1mGQKuycZHGO+LNyHxRd1Y8tFy23q7Ia7oC4XQ+CpCP4cGiG/Krzi5uGboKM/sJgXRUYm\ndxncne3v7+Prr7+W/Ro/l6QQsirJnGROl5tccnR0JF3gbDaDZVnibMJRpoeLiXQ6jXQ6jUwmI6Pu\nRCKBDz/8EIZhmyhytAAAIABJREFUoNvtYjAYIBqNIhwOS7q83+9HMpkUfSWvWQbf8gC3uroK4KQw\nuHfAw+FQpgy9Xg+bm5u4cuXKN76/V9mNndaBsaiSrOIuYPye3T6Wz2JAn2OH/9eBV9w8fBNu7znq\n0tw3vOM4Ej46m83gOA5s28Z0OhXdG0c8tm2j2+3KTbt8euXnOY4Dv98v2rfJZAJN08SAmQw5DxcL\nZN6ys49Go9jY2EAsFsP7778Py7IQi8Xw3nvvod1uo1KpoF6vixnyzZs3oaoqer0eJpMJPv744wX7\nLDIKh8MhbNuWIuQ+1KmqKkkEL9ONsTi5i507RZ5gMeO98jIF7Fk45w7/rwOvuHk4HTwF8gHA02ml\nUsEnn3yC0WgktlosgNQP+f1+OI6Der2O+/fvL1D+SQqggJZ5XdyvLBdF27YlidvDxUUkEoGu6wgE\nAlLc3HE0ly5dQq/Xg23bSCQSiEajcqgKBoOyW0smkwuvS0LUbDYTLR0A0bnx/QC+0Y25uyx3AVuW\nBrCAkbD1ugXsWbgADv+vA6+4eXg26AxBGjRv3mq1ina7LYt3srSoI7pz5w6ePHmCw8NDuYnJrhyN\nRrAsC61WS4IngZOHl2EYcoPato1qtQrLsr7BkPNwMcCDDoXUqqoik8nI+0l9/+lPf4pwOIxgMIh8\nPo9IJILhcIhoNCoHMHb+NExWFEVGk81mUzRzLFjb29sLxQ6AXO9kJ/JtBPV43IW9yQL2LLinLJ4R\n8gK84ubh+RgOhzg8PBQDWlr5xONxDAYDPH78WG5iAFKU6C3Z6/WETUlG5Ww2g23b8rZKpfKWf0oP\n7zoURUEymZQHOItMKBTCT3/6U2SzWaytrSGZTGIwGCAej0PTNPl8jhSHw6HscDkx4MHMbde1tbUl\nY8XTChhH9t9HAXsWWNhIkPGwAK+4eXgxKpUKhsOhnGy73a748HFfxr3b4eEh2u32wkm43+8vOCbs\n7u5id3d3IYnAg4fTEA6HoWkaJpMJ0um07HiZmP2zn/0Mm5ubwsgdj8fQNA3JZFL2dZQTUL5CI4LJ\nZAJVVaFpmuzUKF1Zlga8rQL2PFwwI+RXhVfcPHwT4/EY3W73GywtLtgbjYYIuEn7pyh2b29PAiE5\numGg5HA4lNFkp9MRj8DJZCK6t36/j3a7/Q0KtIeLiWw2K3ZYwNPxdSqVEhccOnDQLMBd/CjMdpM2\nyFCkE8lsNsNoNML6+jqKxaLQ/9075eVcxbcNr7C9EJ5x8kWCm+HFQnXa3y3LQqVSWXife3lu2zZ0\nXUe5XMbjx4+lg6OrBOf/tOw6OjqScRJtkLhc13UdrVZLUgD4fXrwQOE1d12k+XPcHY1GhfjE0Zw7\nRDeZTKLb7QoFnx+zubm54Pjf6/UwGAwkQJcjS+6ZT/NvfJsdHa3pvML27eF1bucAOzs7kk7M3Zlb\ne8Mb1W0G676pidlshuPjY/lcdmwUz7LLI4NyNBrh0aNHoimazWYykiSDzLZtPHnyBM1mc8G5wYOH\n10U6nYZpmkKCYrH6p3/6J6TTaYRCIfFEnc/nSKVSiMfjAE4K42k7rGcJrcmiXHYX+S66PY77L1B0\nzevCG0teFIzHY1QqFViWJadRdk9cjgNYiMmhO4n7YwHg7t27QrNmkeLDgmNGN3uLDxCOUg4ODuA4\nDjqdDur1Our1utD/h8Mhut2uuFR48PCqCIVCMqpkJ0YG45//+Z/j5z//OcbjsfgwLo8rNzY2YBjG\ngqPJi2JulgXcbjLKsgbudYveaDTCdDq9iA7/rwNvLHlREAwGkUqlhHrvHgHyBj7NDWF5JDmfz5HP\n57G1tYV2uy3FknZIbjd17t7Ilux2uzg6OoJlWZhMJuJ2EgqFcHh46HlKengh6ClJSy0mxDNvcHt7\nG4lEAo7jyKg7FAoJiYS5bixqq6urSCQSckDjdMEtvqYU5Vkmxm7W5DJO85F8nREns+m8wvZm4XVu\n5xC82XiyZXwI3+fW6rjdxweDAdrttoQ7kgjCk+/Ozg4ePHiA2WwmBre8YavVKqrVquiTWAAnk8lC\nHI63c/Pwsrh8+bIIutfX17G+vi5FIhAIYDKZoNfrCfni/ffflygdGnq7r28ActhzJ2UQbh9I/v+z\nXPufhxeNOPna7o9130seXghvLOnhBLzBRqOR7MrcNzvF1dPpFNVqFYZhyNzfnRN3fHyMZrMp0oBe\nr4fd3V3s7++jXq/L4n42m6HT6XgxNx6+FfL5PEzTxPb2NuLxOAKBAGKxGNLpNDY2NsSGyzRNSYTn\nSFLX9W8Ui+VDnzsWim9n8QOedm0EWZvuTo6dmZuc9TxiF7WgvDcog4hEIt/Tb/VcwBtLejhBrVZD\ns9lccFgAFjOj5vO5ePQFg0GMRqMF13TgJFCy1+vhyZMnaDQa6HQ6KJfL4vfHm9cbQXp4HfB64zVJ\ny7fPPvsMuq6LLu5HP/qRJHcHAgFUKhVMp1MEAgEUi0VhYJKNucwK5n0APN2p8e8sciyAND4meYX7\nYvc9RPIUd9FMBgcgLE4WSvfUBICM9b3i9ubhFbcLANM0xS2d/njuIkenfp/PJ8QQtzDW7/fj8PAQ\nv/vd71CpVLCzs4PhcIjpdIrxeCyvRTG3Bw+vgkgkIl1RPp9HIpGArutyTQEne2VN0xCPx7G+vg7D\nMODznaS60/EfAJLJJEajEdrttnhK0r7Lfc27OzJ34XOPLd33h3tXvbxro/n4ZDKRUXwkEkGxWHzh\nz66qqqRteE4kbxZecTunINmjXq/DsixZvPN97kgOuojw/X6/H6PRCOVyGUdHRzLOpOsDHyDuro4L\nfo6ORqORpCV7/pEenoVAIABd12GaJkKhEAzDgK7rSCQSyOfzsotSVVWE3fF4fGFn5jiOxC1x5wtA\ndJ08gLlZwhzHk2iiquo3rLr4GsuZbG5pDXfPbpnMcrTN80DCTL/fl07Tw5uBV9zOERjvQTeQfr8v\noaPuFGOOWwaDwYJ8gMbH1LiRMenuzAKBAFZWVuQG393dFSNbWiFZloVGoyFfiy7sLJoePBDT6RS1\nWg2RSAQ/+MEPEIlEZJTHKUMqlZIRJAsAZSyDwUByztjJuVOs+XdmCbLwkKHIjms4HOKv/uqvREwO\n4BvFioc5dxf3JhAKheQQ6Im33xy84nbGwQLGUEfbtkUCMBgMMJ/PYRgGgBP3g0ePHgl7kns1nmJb\nrRaOj4/lwcGTruM40pWxg+PHZDIZ2ZNYloVOp4PBYCAhknxQ0TppOp3Kydnr7DwQ+/v7iEQiSCaT\nSCQSiMViSCQSCIVCaLVaGI/HiEaj0HUdwFMi1HQ6RS6Xk8PVstbMvVOj4wnZidyF+f3+heLyJgvX\ny8Dv9yMcDgvL0xvtvxl4bMkzjL29Pfzrv/4rdF2XBTpvcnZnTMmez+dSpFhcwuEw/H6/WCG1221U\nq1XkcjkoioJ+v49utyu7tOPjY9mBRKNRkQz4fD4ZQ45GI4xGIxn5dDod0SUBJ8W4Wq2i2+2+zV+d\nh3cMiUQCpmnCNE0kk0n4/X6EQiHYtg3bthGNRvGTn/xEfCWBk2L1wx/+UMaUABaYjCwU7pEkpws8\n4JEpzEQB0zTfys/P9UAwGPQcSl4MTwpwEdBut9Hv97G7uysjGHZEHOOEw2GhTbuJH24RLHAyurEs\nC4eHhwvUaFVVF9xFHMeR3YV71Kjr+kKyNpO4KQ0olUpeOKmHUxEIBFAoFGQMyUOUruv4+OOPpaDx\n+uv1esjlctjY2JCCxuKlqipWVlYAYGF/xq/jDs7lNa4oCrrdLtLp9Pf/w///4GSDh0YPz4QnBbgI\nMAwDhmFgdXX11PdT38bQQxY9mtWS8cVF/OHhIUKhkFhokapMkXcoFJJ4Etu2YVmWjH5s2xZiSbfb\nRb/fl2LndWoelkHqfDqdRiaTkZ1wNBqVUFJ2YYZhyBiRjN5Lly4hHA7L4YoHMqbBs3ABT9mRHKuT\nTOWWwkwmk2d6T34foBn5eDz2itsbgNe5nSPwhl4WqDqOIwJXaoDIQnPrefr9PkqlkuwgarXaAiOs\n2+1iNBrh3r17sG1bukIyzVjgSqUSdnd3vSw3Dy8FRVFw/fp1xGIxIXqQwDEajWTHm8vlcPXqVeRy\nOWxubiKVSkHTNOnOSPxgB8frm4WL94dba0ZqPz+OY3ZOJr5P8F4FIMkbHk6FN5Y873BHeLgz1gi+\nj0t0dnGz2UzCH3l6ZQGjJkhRFOzv7+P4+BimaSIQCAjjrN1uAzjRz1H8Xa/X8emnn+L4+HjBWNYt\nFyDBhQ8vxnt4uFige0g4HJbrUtf1BUPucDgsLF8emubzuRBBVFVFKpVCPp9HLpfD5cuXpZjxvtA0\nTUTdhJvS7/aDdHtI8r7hWN99DX/X4P05m81kjeDhG/CK23kCL3hSl1nI3OJT7tx48wYCATx48ACt\nVkveH4lEJKGYrg80OCYRpdfrSUK3e+HOceVgMECpVEKtVpOTNgtmqVSCbdvC0KScoF6vywJf0zQA\nkKQALwLn4iESiUDX9W+wFjlZ4LXo9/uFOTkcDkVDydFkLpdDLpdDPp9HJBIRgbeiKJjNZojH4y/V\ngbkNld33GotcOByWjvC7BO8jfh1PGnAqvOJ2VsExCm8u7hDcAlK3TZG7wPHfkwzGWq2GUCiEcDiM\naDQqDxLgaRF0i7lbrRZ6vZ44O/R6PRmXUBMXDocxGAwAnDykBoMB9vf3AQCNRkOYZ61WS6QB1MJx\nPMqTuIeLiWw2u3DtAk9DSFngGLM0Ho+FEVwoFKBpGsLhMDKZDJLJJIrFokwhksmksC05IdB1XcZ8\ny/ZXzwO7OhZTAAtEKhbjF8XmvCpY3MbjsXSwHhbgFbezAPoxcrdAU2P3mOS00QgfDO6HAzsghpRS\nCkCRK6nRbnstauMGg4HYACmKglqthna7LZ0VrY9SqZQs3CuVCo6PjwGcCFGPjo7wpz/9SeQAuq6L\nRIAPiUaj8T3+dj28qwgGg6Jr8/v96Pf7iMViUsSKxSKi0SgGgwHq9ToSiQQ++ugjMSeYTCb4y7/8\nS7GIo+aN/6+qqsTdaJom4z4Ack+FQiHZsb3oD3BCRqG3JLtBdnl83ddJEVgGf45gMCj7cQ8L8Irb\nu47hcIjj42MxWiUFmEWINw0vdjdZhHDHd3Bswo4vGAxiPB7L67vdS3gSZYfX6XTQ7/eFFbm3tyfO\nEJqmIRqNSndH3ZplWYhGo5LIvbe3B8uyxHiZ+zzmbXk7Ng+ngWxJGg7Q5T+RSMhhqt1uL4wYTdOU\n0FJ2WNzhcQIBAFeuXMH29raYDrAj5B+3WQHdT5YF4O7JCABhFzMnjkWMuzv3Ls8tLHd3ey8CNW/8\nOh57cgFecXuXQaIHWYtuE1ZqeTj3dzuZu4vY8o3CQjUajaCqqowD6bBOijG1bZPJBH/84x9hWZbs\n4dLp9DdcHniDcSTZbDZx+/Zt7O3tSffHERKvp36/LyNNfm90PlcURX5GDx7cIAOSherDDz/ERx99\nJBZVnER0u10kk0nkcrmF6zkcDsMwDGiaBkVRpAM6zXWfBYj3HBmV7AS5b17OXgMgn0ePVRax5ULo\n/njuvd2ZdO60cDe4lggGg5Ia4JFLBF5xe5fBLomdEjsdAOIewnHksiWP24XB7XPHuJnZbIZmsym+\nkDyZ8tTKBwG7OTqbRCIRKIqC3d1dzOdzEX8PBgM5Kd+7dw///u//Dk3TkM1m0Ww2RdMWCoVk9Ejt\nkWEYSCQSkuTNHZx7jzefz2V35+3hPAAQIffly5fx4YcfwjRNseBiIGmn04HP5xMzZcMwpGjE43GY\npin7u3g8/lJflwdK9+TBLQ1YThfgWoEHQLI93V0fX5f/72Y4cxLDr5FIJOR76ff7UFVVJDxeaoDA\nK27vIuiwv7u7K4WLbEX+edYe4Fkjjfl8jq+++grValXe5vf7oeu6jE1I9dd1HbVaTRxLaGzsnuuz\n8M7nc7HmikQimE6n2N3dxe7uLlZXV+E4Dv77v/8b/X4fiURC9hzNZhNra2sIBoMolUqSLKCqqri3\nNxoNHB8fo1qtyjhoNBqh3+97XpMXCBw1apoG27bR6XQQDAaxubkJ4MTmLRwOI5VKYWVlBYZhIJfL\nQVVVzGYzVCoVCcal406hUBA2ZSwWg2ma2NzclML0Krswt4SG3ZTbEcX9mstF7mU7LTdD013ASCQj\nS9lL6xZ4xe1dBAuH2+H8dV3G3eGKjx49Wrg5WNiApx57PDX2ej25GWlX5Pf7JSmA+z/68LVaLem0\nJpOJUK0Zq5NMJlGv19Fut6XbG4/HePToEX7/+98jk8kIy63dbqNSqaBUKqFarcpDw7KsN/679nA2\nkEqlFsZuoVBo4R6hByrfXygUcPPmTWQyGZimCVVVJdHCcRwkEglJDGg2mwgGg5LmTbMBjhvdO+vT\nRv3LcDv6LIeXsrtzZ9B9mxgb3nOM8qE1lwevuJ07uIsZ5/0ccQBPM9XcDwP3WJM3HwXZAISpRh9I\nEllIYOHXBU5OmKlUCuFwGOPxGP1+XwqgbdsyUmHnVS6XUavVEAwGUalUcHh4iEqlgkePHqHT6Xj6\nNg8ATgglZDsqioJoNCpEDxJE/H4/VldXhRhy+fJlmKYp1/H29jbef/99DIdD2UtTV+k4DtLptBCa\nIpHIglibo8hl8wF3wXPv1ZaLlfue5CjTHa9DCc7rUPppQUbrvNd9nXMGr7iddbjttLj05v/zpOgW\nYJPOz93ZMl2ZNzMZk+PxGMPhcGHsSU0cx6WM4uh0OshkMgiFQrLQbzabUBRFrLi40Gf8TaVSwcHB\nAbrdLg4PD7G3t4derycJAR48ELquCzOSOzXu2LirdRwHPp8Ppmnib//2b3Hp0iUEAgHYto2VlRUU\nCgUhTwGQ7iwSiSAajQJ4airOty/vsU4TcbvtuwBIsWMR5BqBhZCfzwMoyWGhUAiRSGQhreBFXR2Z\n0uzexuPxqeSYCwavuJ01LBcz3lxu53IWNDeLi5/L0yKLmNtPj2+rVqtot9uyR2NGltsj0j0qnc/n\nqNfrCAaDSCQS4sher9fF+49klUgkgl6vh4ODAxweHqJcLos0oNPp4O7du15hu+AIh8OIxWKyW1VV\nVYgTiqJgc3MTsVgM6XRa8gFnsxnW19ehaRr29vagKAp+8YtfwDAM6fB4zXKczh0cr01qNZkxSENv\nGjW/DFmDr+m2u3N3f3yWntbt0XmE7EoePDlZcQvDl0HTc3ZvnjTAK27vPNw3iruQuUWh7mLGccSy\nTRA/z+2XR/stjkb4EOh0OuLZx2BGfi/u//Lt3W534WMcx0Gz2YTjOGINxNy2nZ0dHB0doVaryQhl\nPp9D13XYto3j42NxMvFwcaFpmrAhU6mUPKxt28ba2pqQoHj9t9tt+Hw+vP/++8hkMvKHhCh+LJPl\nuQ/jWDIej8tejnsrJn5TOvMqRe5ZOI0JyXt7+f3A086SP4N7jeDeCfLnUVVVJEQXXBrgFbd3Dcun\nPndnxWLE0SBHHbwh3KMSngTdJsT8wyLIxTZHmMsU5pf5Xnu9HmzbRjgclhy2ZrOJZrOJeDwuN+0X\nX3yB3d1dKVzRaBTxeBzhcFgE4+12G0+ePPlOfq8e3m3oui5BubPZDIlEAsViUe6DaDQKTdNgGIaM\n3QzDWAi5nc1muHXrlowXyZhkbBNF3+4C0O120ev10Gq14Pf7EY/Hkc1mRXLCsSTvo9FohFAoBE3T\n3jjt3t31cac9HA5FksOPcUsG3PKDyWQiNmJ0YbnA0gCvuL1tLHdWLAYsZm7XAjdFmUWM4EmPjgc8\n6bkJInwdjjRJDnkdV/P5fI52u41GoyHJ3mRDtlotJBIJ9Pt9+Zjf/OY3AE7SlA3DkPgcEl4cx8HO\nzs6b+JV6OIOg04iiKCiXy2LWzWvXTcAwTRPxeByFQgGGYSxoH0ntTyaTslc2TRO6rkvhoBEzXx84\nITj1ej10u11cuXJFCkS/35ci4WYL0yScO+bvEiSi8N6mJybXEtw9DgYD2YPzcLu6unpRuzevuH3f\nOK2Y8UJcdihYLmbuboz/5fs5u+c+7LQOjKOL2Wz2yjob9/fvLlqJRAI+nw/tdlvMkX0+Hw4PD3F0\ndCT0fZrTTqdT9Ho9eS2Kwx8+fIijo6Nv++v1cAZBs+xEIgHTNBGNRqWbp61bIBBArVZDs9kUFxxN\n03Dr1i0Ui0U4jiMaOJoQpFIprK+vi+Ca+je3YYB7zEfiyWw2k69Jc2J2bCSvjMdjNJtNsQH7PkCy\niHu37gYPuO7Jj67r38v39g7CS+L+rrFczNzUeepfuD/jxcqiQwYWix0PGYqiiBP4i7zo+Bosoq+7\naJ5MJmi322i323JKTCQSGI/HsCwL4/EYrVYLDx8+xGQywVdffSUpA2Rx9ft9GIaBYrGIcDiMvb09\nRKNRNBqNhdBF5nh51lsXAxwz8hr3+/147733FkzB6cJRq9VQrVZh2zZyuZzcH5lMBqqqQlVVubfo\nhsP7p1wu4+HDh4jH4/jHf/xH0Zhx9MdOiJ/HSBx+TyRK6bouwu/vc+zHe9ftfcndGwCZvngygJeH\nV9xeAcvFzL0L44mSnRcvTM703e/jDbXMknpZ9wE3ASUQCHwr7cvjx49Rr9eFxcZC+vjxY3S7XViW\nBZ/Ph16vh2AwiG63i+3t7YXvWdd15PN5EWk3m00EAgE0m01MJhNcvnwZmqZJ59ftdr/xfXAnwjgc\nD+cDfFBTf0ZvSBolb21tyV63UCiI7CQQCCCRSAhbMp/Pw+/3w7ZttFotjMdj5HI5GIaBer0uu2fm\nvdFTkiGoPHhy/MjvR9M0qKoqb6PJQDabfWNdm/v+dxO3nvc2N+nEw+vBG0s+B24Sh1vz4iaDEO7d\n1nKnxf2Yuxt7HRsdNwuMJ71XGT26ySsszq1WS7qw3/zmN/jDH/4AALKsp8nxaDQSYglF2vF4XE7l\nLGz3798XmYE7Xufu3buYzWYolUoL31MymZTiPJ/Pv/F+D+cLmqZha2sLGxsbiMVi2NzcxObmJqrV\nqhQTXo/BYBC1Wg22bSOZTAqNn8zbwWCAv/u7v5PDV71eR7fbxXw+Rzweh6ZpiMViiMViYiSu67r4\nTdq2LUYE3NUxSeNZhe11CtVydM5pcTqnvc3DM+GNJV8VbtPU5c6MXRexLOTkBbkcZviyERfPAscw\nZFW9yuhxuZC5SSwstmSfAScxG6ZpYmtrSyy1mKI9nU5RLpfh9/uRTCZhmuYCA5Np3++//z5CoRD6\n/T46nY5E3WiahlqtJl9ra2sLiURCrL1ms5m3lzsHeJYBttvJhrZrq6urYpu1srICx3GgKApyuRxm\nsxna7bZMD3jdqqqKVCqFYrG48DVSqRRyuRzG47HsjEulEobDIdLpNAqFgoxGeQ9x5+c4jljJMcmi\n3+/LaBPASxUqHli9QvVu4MJ3bu5YGLdlDvC0cyPZY9mSZ9lp4E3Ow5dZVMvJAMtY1r7x+3aTV17U\nLTKvzefzyYjm3/7t33BwcADTNLG+vi4n7lAoBFVV8fDhQ1iWhXg8jmg0Ctu20Ww28eDBA3E/KZfL\n4tJApptlWWi1WkLdtiwL7Xb7jf3+PLwdsAtitw9gwUWHgbjxeBzr6+u4dOkSZrMZDMPA+vo6ZrOZ\nGHCzm6/X66hUKuJRSiakruvi/O84jhRVd5HhoavX6yEWi2FtbU3Glm75Df9O5iVHqQAW3Hq8MeE7\nAY8t+SKMRiNUq1UhcLh3aRSAsojRr/HbjBVfBHZZ7rTf00aPbu3bsuj7ZYgoz8JkMpHxTrValcDH\nRCKBq1evysiGi/xarYbPP/9cNEv1eh0HBwd48uQJotEostksSqUSarWaiMZDoRAODw+F7cUOj16A\nPp9PDhyveG16eMcQi8WEnk9tFqn/7JZM05RJAA9QPABFo1HxnTw8PMT9+/dFq8ZUgPF4jFgshlQq\nJTtj3sc8iPL+ZoFiR8X7h5MRun8kk0n5GahJY5oHpQMcYXqd2VuBV9xeBI7d3OM+jiKofXkV4fPr\nwr3XO230uFzIljVy37bYsmPrdDpCt55MJsjlcmLNBZyMLbvdLtrttmiBer2eyALC4TB+//vfS75W\ntVqVxT2d3kkYId2agYyxWAx+v1/cTUjQ8XA+kEql5BqOxWKwLEvS4Dc2NoT+r2ka8vk8stmseJxm\nMhnk83l0Oh1Jf+dhyXEcDIdDjEYj6LqOdDot2W1uliTvKxJMXgfs6FjoptPpQmSVx2T83uAVtxeB\nHRCjX16VoPFtsaxN49df3ve5x4tvcvxJCn+z2ZSRIJ0eeLNS8Foul9FoNCT4UVEU3L9/H81mE+Fw\nGMlkEpPJBI8fPxahrqIo6Pf7YqHEwtxut2HbNlRVxaVLl4QF98knnyx49BHsqj2cbfA6IRGp3W5j\nPp9jdXUV+Xxedm00CiYZJBgM4oc//KEcAtvttowQTdOU1PdGowHbthGNRrG2toZ4PC6f4063D4VC\n8j18G9DVxJ3IzZEpD4QevhN4xe1dhFubxjm/W+gNPJus8qZAplij0RBCBx8UZKnR2b/RaODJkyfw\n+XySn3X//n08fvwYAJDP56EoChqNBsrl8gLjrdFoIBQKoVQqYTAYLNiChcNhJBIJTKdTNJtNHB4e\nioEuGZPUA3o4u6B2y41wOCxOISSRZDIZFItFRKNRuQ5pbmyaJq5du4Z4PC7WWo7jyJgxk8mIRZVl\nWTg+PkalUoGmabh27dpCxM1wOIRt27AsC4qiYGNj4439rO5Cx66Oo3gvZPSNwitu7xJ4Y3Gf5jZK\n/a53ecR0OkWn05GiBpzQ+fkwYSFl5zgcDtFsNtHv95HJZHB0dIRf//rXmM/nyGQy4mhC4kAqlcLa\n2hqePHkiFG6Gs04mE0lVdtuPMaKkVquh2+3K6Zr6KA9nG5lMRggdy8L9jY0NZLNZud7YcZGRS93j\nfD6HpmlYW1uT5Aq/3y8GwsFgEOl0eqFbItuS+z2OOYn5fC7ylu8C7sxFdnXuEaaHbwWvuL0roFs5\nT3LuSIyWLPs/AAAgAElEQVTvA9PpFO12W/LUgsEgUqkUkskkYrHYwjiUI5z9/X3Rq9H9gW4PKysr\nOD4+xmg0QjKZhGEYUpAePnwoY0cA4iARDodFrBuLxQCcGOoeHBzg4cOHki/HkWin0xGxN0/dHt4+\neO2+6OBBN5HLly+LaTLRbDZl151IJBCLxWAYBqLRKDY3N6HrushHVlZWJH9tdXVVSEjD4VAS5BOJ\nBPx+P1KplFhoucFr8G2CRQ7ARbbNelPwitu7Au7Nvm9m1Xg8RqPRQLPZFBZiMplEMpmUTo0fNx6P\npXO0bRuHh4cYDAa4e/eukEu2tragKAru3r2LZrOJQqGAcDiMx48fC5Wf3nytVguBQACWZWFra0tG\nU6lUShhso9EIjx49wv379+E4DnRdF4o2T766rnv6t3cIpmmK3+PR0dE3ujFN02RvSwsrVVXRbDZl\nVJjL5VAqlaSzyufzKBaLSKVSaLVa0HUdhmFga2tLDkIc9fn9fqyvryMUCqFcLouX6fr6uhQ47oQ9\nnFt4Iu53Bd/3qZHBiIeHhwAgUSCRSEROuwCE/kz3FYYp0l/ScRxcuXIFGxsbSKfT8Pv98prb29sL\nAaTU5LFIbm5uIhgMQtM0JBIJOamzO2Q3ZlmWkAN6vd5ChlUymXzrJ24PiyAJJJ1Oy76q1WoJg7bf\n74vXKWn/sVgMq6urUBQFlmVBVVVcv34dd+/eRSgUkm4sHo/j0qVLMjYfDoe4ceMGNE0TqQhz2Di2\nZKQNcLKjLZVK6Ha7SKfTXod0weF1bucI8/lcihLJGPP5XOyMKFYdDAbodrvo9/sLpJZAICDMM0VR\nkM/nxYmEy3oWwb29PbTbbVSrVTx48EDEt2tra8jn85jP56jVaiLYZroy6d8PHjzAzs4OqtWquFAk\nEgkJNt3e3kaj0ViIyonFYnJSj0Qinvny9wx2+2QX5/N56dL29/dh27a4e3DHurGxAcdxsLq6img0\nKnvf8XiMq1evIpfLoVqtolaroVQqQdd1rK+vwzRNrK6uyqGJVloMyaUejn6VzWZT5Cm8TiORCNbW\n1t72r83Dm4c3lrwomM/n4tDg7spUVZUHymAwQL/fR7fbxWQyQSQSkVBGuqLX63VMJhOkUinJsppO\np+h2u+h0OvLaFHo/ePAAR0dHGA6HyGazuHLlCnRdR7fbxd7eHhRFQSwWQy6Xg6ZpqFQqCAaDuH37\nNsbjMY6OjtBsNtFoNJDJZPDRRx/Jbu7+/ft49OgRAMjSn44R2WwW7XZbdhgevh+QMQtARtXUjkUi\nEbm+ptMpqtUqQqEQNjY2FsyPVVVFv9+HpmmYTCZ4//33hbJfrVbxySefIBQKIRKJIJlM4qc//anE\nLo1GIyQSCTmwxePxhd0xpSp8bVL+PZw7eMXtvGO5U6PjOUd74/F4YWRIp3U+TMgko5jdMAysrKzI\nPsyyLHQ6HcnBIssxGAzis88+w507dxAKhXDlyhVcunQJjuOgVCpJEVtfX1948AEQV/c7d+5gd3cX\niUQChUIBhUIB0+kUiqLgzp07YuCs6/pCAnksFoNt217X9pYQDodl3BeJRBCPx5FMJpHNZoWizySJ\nTqcjKfAkdaRSKfh8PhQKBUSjUenYNU2TpOnd3V2Uy2U8efIEt27dwt///d+j2+2i1WrBtm1xO3Fr\nMldXV5HJZKSQMl/Q27+dS3jF7TzDcRw4jiPdFD37gKcZcm4/PLr8k6gxnU7RarXQaDQQiUSEHGLb\nNnq9Hnq9HmzbxmAwEO1RMpmEqqr4l3/5F3z99de4du0aPv74Y2QyGfT7fRweHsJxHBFnRyIRiSLh\nGLTf7+P//u//8ODBA9E25XI5+Hw+RKNRfPrpp9KxUWRP/8nRaCTRJB7eHvx+PwzDQDAYxHQ6RTab\nxc2bNyU6hjuzQCAgHb+u6/D7/Wi325hOp9ja2sLW1pb8G6dSKaTTaWiaBp/Ph3q9jlKphGq1ip//\n/OcwDAPj8RiVSgWdTkcMCHjgURQFKysrSKfTYo6saRrG47FX4M4fPELJeQTHi8CJoWuz2US325UR\npKqq8oCgvx5PzjSW7XQ6qNVqCAQCEi7aarXQarUwGAykg4rH47h8+TJM0wRwwljrdrtoNpv46KOP\n8NFHHyEWi2E4HIpQe3t7G+vr64hGo+IaQXLAeDzGvXv30Gw2sbKyIka47CJ/9atfoV6vo1gsirHy\nlStXhLDgNuP18P1hWYoxm83QbDaRz+eFEMLdrW3bSKfTkg6QTCaFSTubzZBOp9FqtVCr1TAcDqXw\ncRfL3VooFBKX/6OjIyGRbGxsoN1uo1QqiXsOd30cifr9fjET4JicTiceLg68zu2MYDAYyDiOI0iO\nCDVNk+BTdmZM5qYfHp3Ty+WyPHQURUGr1ZKYj0gkIiwzMiuZfUUGJTEajdDpdMRgmcUwkUiIxdHB\nwYH4SwaDQbHY4sl/c3NT2JO3b99Gt9vFpUuX0Gq10O12cf36dZimiQcPHgizLhgMCjsOeJpc7gWc\nfjfg+I8HqmVkMhlsb2+Lqz9jaZrNJlqtFkajEfx+P0ajkbiDpNNpOXyZpinTA8MwYBgG0uk0crmc\nFCmKuCnaVlVVRuCNRkPIUNz9apomY+t8Po9MJiMGy16BOxfwxpLnAdw10LFc13WoqirhitTOsahx\nJEObL9LqDw8P0W63EQ6HMZvNhHVIl3XDMOQBwoU9qf20C6Nvn9/vh2VZ6PV6Euyoqiq63S6GwyHq\n9TqOjo5Qr9cxn8+xvr4On8+H3/72t6jVajBNE1euXBGXljt37mA+n8uJ/fDwEKZpYmNjA41GQ+QG\n29vbaLVaePDgAYATobCiKAvOL6fBE4G/PhRFQTqdljHgaUUuk8kgnU7jypUrWF1dBXCih2s2m3jy\n5Ilckz6fT/RqW1tbqNfrUrw4Sbh06RIymQym0ymSyaSQiThi58GJf9rtNnZ3d0VioCgKQqEQksmk\njO5N08Ta2poQTLwCd+bhFbfzgPv374uolR55btBodjabIRgMLhS1+XyOw8NDHBwciLdjKBRCIpFA\nNpsV2y2CnRmp/4PBQIyMOXaaz+dotVpS9Bg3QvnAo0ePsLOzg8PDQxHwhkIh/PrXv8ZwOMTa2hpu\n3rwJRVFQr9fx5Zdfwufzia8g92rRaBTz+Ry7u7t4+PAhbty4AVVV8emnnworNB6Pe/E43wMMw0A8\nHhfT4uUCx2KSzWaxvb0thYSZaI1GQ2zV6G7Dboxj9FqthlqtBsMw8OMf/xiqqqLVagnJKZFIyD6Y\nBY6Bu8FgEI1GA0dHR7BtWxK7WQD7/b6wL2OxGDY2NrwCd7bhFbfzDHdCN4sO0wUCgQB2dnbw1Vdf\nYTgcwjAM5PN50a25CxrhDnokOYXBk+zUJpPJQvaapmlivdXr9fDw4UN8+umn6Pf7MAwDqVRK4ki4\nYykUChiNRjg+PhZD5itXrsAwDLTb7QX5gq7r6HQ62Nvbw/b2Nm7fvo179+4BOHngclw6HA4XNHAe\n3iw4pg6FQohGo5Ik4fP5pNBR91YoFBCPx8UjUlVVZDIZVKtVHB0dYTAYYGVlBaPRSLL8rl69ilgs\nhnv37sHv92Nrawvb29sAgOPjY2SzWdy6dQuqqmIwGEixdD+7GNvEhAtFUZBIJOQgRFecyWSCYrEo\nxs0eziS84nZeQbssjiS5e1MUBY7j4I9//CPu3LmD7e1tXLt2DZlM5pkGsfP5XDwjOd7jQ4wjTZI7\neEoGIB0gXf+//PJLfPHFF7AsC8ViEYZhYDAYQFVVbGxsYGdnB6FQCLZt49GjR3j06BECgQC2t7eh\naRparRbi8bg4odi2Ld3jxsYGPv/8c/zv//4vgBPSAU2YG42GiHu94vbdgfuqZDIJXdfh8/lwdHSE\nyWSCZrMpH7e1tYVcLodLly5hdXVV9G5ra2uo1+t4/PixJHEnk0kZu1++fBmGYYh0QNd10WByn/o3\nf/M3AE5G8JSnWJYF27algDHtgsYAHHtybMmx5NramkwLPJw5eMXtvGEymYj3Igsbixr/fzgcolwu\nI5PJvPDGnc/n6PV6sCxLCCUMc+RuhCkC7ocNySPhcBjVahX/9V//JRRwRVEWtEzpdBq//e1vAZyQ\nUO7duwfLspBOp1EsFpHNZrG/v4/pdIpQKCT7vVqthkKhgFwuh3K5jP/4j/+Qj2GSATtJEhWWXUu8\nXdubQzQaFQYkOzQSTfb29nB0dITpdIr33ntPkttXVlbg8/lQqVSEPFIqlRCJRFAqlaAoClZXVyW8\nluzdra0tTKdTOSBNJhOsrq6Ksz/9S5nyPR6P0ev1RGYwnU5hWZboPHu9nnSZBwcH2NraQqFQgGVZ\n+NnPfuZ1cGcPXnE7L+D4jZoxv98vRe3b4OjoCKPRSHYqZLUxa67VasnplwkBwFNX816vh1/+8pfS\n0TmOA8Mw4DgO0uk0DMPAL3/5S9ml/eEPf4DP58PHH38sdHGmeEejUcTjcRH/6rqOaDSK3d1d/Od/\n/ic6nQ5UVUUymUQikUAmk5Fd4vHxsez3mCTA381ylpiHVwPz2AKBgDjuRyIRScve2NjAeDzG3t4e\nPv/8c3zwwQciuL9+/brkqT1+/Biz2UxE1oFAALu7u5IsUSgUYNs2arUa1tbW8Od//uewLAvZbBbj\n8RjFYlF0dEzW4B6ZxYkRTEzs7nQ6wrAtl8tot9sYDAayx1NVFZubm173dvbwUsUt8M///M+v8qKv\n9MEevh2YqTYcDmWfRtbYmzAUJhMuEoksdIXcqQCQxXwsFpOi6vaZnM1mQgUne7NQKGBzcxOlUkle\n9/PPP4fjOPjZz36GWCyGQCCAWq2GVquFUCiEbDaLQqGAfr+PfD6PwWCAer2OP/zhD6hWq9A0TXZ8\nxWIR1WoVs9kMjUYD4/EYqqrCsiwAkMJKiYOH1wftrmiIraoqTNOUfL9wOIxCoQBN07C+vo719XXZ\nf9XrdUSjUSSTSaysrMBxHASDQZimiXA4DMMw0Ol0sL+/j1qthp///OcAgM8++0xSBQKBADKZjEgJ\nKBzn+JJaOTJv2dmT1dtoNJBIJLC2toZEIiG75NFoJOkCjPHxcGbw/73MB3nF7R0EGZBkmDEH7k0V\nNYIPCrINOYa0LAu6ros/H0kjTA8Yj8dCy2Z8DoNJKbStVCr46quvsL+/DwD44IMP8PHHHwOAjJaY\n3J3P57G1tYVarQZd13F8fCy5c91uV3YqPp9PbJXK5bKw7Nx2Y7quI5vNotPpPFOb5eHkYPMyI1s3\nM5HsRrrG0DCZHpH0OE2lUsLgZQfNrL5UKiX/TqFQCNvb2yIF8Pv9uHXrFm7duiVeqT6fTxItAMiu\nzT2WH4/HC6N5vj2RSMiOcDabIR6PY2NjA5qmoVqtolAoiDwhEAh8b/mKHr41Xqq4eWPJdwhMByZz\nkRH138VNx1En8DQih/Ez4XBYZADJZFI6SJ6MKdKdzWZC6qhWqzAMA5cuXcLx8TE+++wzDAYDIYSs\nrKzAMAzpsCqVCv70pz8hFArh8uXL4jLRarVweHgIXdfRarXw2WefATjR48Xjcei6js8++wx+vx+x\nWEwMmnmqv3r1KizLQrfblTFYIBDAdDp947/Dsw4WhmchFArJoYajvG63K6JoXddx9epVjEYjRCIR\nbGxsoFqtLuy7AIjTyHw+xw9/+EMEAgE4jiOHFtqp8TWpc9vf30er1cK1a9ewtbUFwzCEHMICS3KL\nz+d7bqr2YDCQAxPlKSRm0TOV17bXxb3z8MaSZwm0ERqNRhJRQwLHmwQLFUc74/FYui7SvTnq4Q6M\nKeJkzDUaDcxmM0SjUdTrdXH139jYwGg0woMHD2ScFI/HReQbjUZFKzWfz1EqlXD58mVxlDAMA6VS\nSfwwTdPE5uYmfD4f/uzP/gyapgE4Ic3cvHkTw+EQlmXJQ5T07na7jUAgIJqoRCIhD9fzDvopvgy4\nr3pe4aedlVs4TSeRWq2GcrmMra0tACe72EQigeFwCEVR0O/3USwWEYvFEIvFRNS9sbEhnqXs9g3D\ngN/vF1YuCSQkrKTTaZF8sMhR98axIv+cBo70B4OBMI1VVUUwGITP55P7gl2gV+DeaXid21kAT7jM\nn3rTo0eCXSH9JjmO5JhH0zTJd+NpmNRq+v3Zto1OpwPg5GHBDK1EIiFZbV9++SWAE+r48fEx8vk8\n1tfXZVd3eHgoNkr5fB79fh937txBJBLBaDSCqqp48uQJ0uk0qtUq6vU6stksIpEIyuUyKpUK0uk0\nbNvG3t4egsEg/H4/MpkMms2mROjMZjO02235nbbbbfldfJtO7kXdztsGk7Dr9TqAk46XJBvC/fO/\nSB+o67r4gO7u7koSAK3a/vSnP+H69etIpVKIxWK4du2a2KfV63W0221ks1kRYjuOIwbc3OE6joPh\ncIh4PI56vY579+5he3sbH374oRymQqEQ5vM52u021tfXZbxJT1RFUYRs9Lz7h96qdNZh+CmNuXkv\nUtvnHnV6eGfgdW7vMsbjMSzLEi0YdxBv+mYiGYAefz6fTxK3+/2+PGBYCAzDkNM69UgMg+z3+zIC\npA6NXn62bePrr78WNptlWVhZWUEul5MdIn0os9msuFjs7OzIw4TEgWQyiVarhS+//BLZbBbRaBTZ\nbBa9Xg+qqiKdTuOrr76C3+9fiDphF8cEApr6soMDIKd0N0jS4XjKDZ7i+TmqqgLAS+2r3gao5eIh\nhNpByj2Ap7vWQCCAWCwmHRSJRW5QjM+ufTKZSJdDogg7/l6vJ7R9/ptyN/fo0SPEYjFsb2+jUqnI\n98FE7clkAkVRsLm5iZWVFdE4ksykKIr4qDIlwufzSdI7WbM0LXgWOL7kfpAm4Xx9FlGOVnl48vBO\n4aU6N+9f7XsGtVndbleYY6fZar2pr0UnBxYljl5olzWdTuE4jowQAchDkJT/crksC/lmsym7tEwm\nIyGTd+/eRbfbFer49evXhdbv9/sxHo+lk0smk5JDNxgMEA6Hkc1m4TiOfJ+ffvopMpkMVldXYZqm\nhFWqqoqdnR04jiOmuI7jIJFIyC7QfWCIRCILndYy8QA46XbcnoNuiQUd74lgMPjOEA9Ok4KwGGxs\nbAAAWq2WhIyGQiGxpmK3Mh6PkUqlEI/HxR3GjX6/j0ajIXKNS5cuiflxLpeTbEBqFI+OjrC/vy+H\nlXw+Lw45Dx8+hM/nw/r6OmzbRrPZRLVaFfIHd2AbGxu4dOkSxuMxDg8PxTC81WpJSCk7P5KcMpkM\nNjc3X+rfhsSkeDwuSRe8RqjhTKVScm2ThevhbMHr3L5n8MQfj8e/k04NgLiN0A+ShBHuzxzHEcEz\nxzk0nWXqgKqqGA6HaLVa4gjCEz9dSLg/29nZQbPZFLf3TCaDyWSCcrks+VpHR0cIBoPIZrPC/mSn\n94Mf/ADT6VQ6rP/5n/8RQfBwOEQoFBJ91Hw+R6PRkDFXv99HNBrF6uoq9vb2REiu6/pCYCtB67D5\nfC5dDnASvOmWNwCQIsB9HXVeAN7qaJJMx9O6R4qlDcNAIpGQ75+p6KlUSqzacrkcarWa5P0NBgMZ\nO/KBrqqqkH3YCW9sbODHP/4xMpmM7O34b8+Oh90uTZfdht0sikwNmM/nUmgcx4Gu65LvNh6PpbOc\nTCbo9XriThMIBKTrov6TGYI0Onje/cU9HENW+XrAyb99JBKBoijodDrSRb4rB5sLDk8K8C6CY8Dv\noqi5ySK8Scl65M4qEAhA0zT0ej15iJDezS7P7/ej1+vJPo3kllqthk6nI6nZzWYTd+/ehW3buHr1\nqoyvTNOUESJNlQ3DwM2bN+X1ZrMZMpkMtra2MJvNUCqVxCjZcRxcuXJlgfBwfHwszEyKc7k3pM+k\n4zioVqtIp9PodrswDENMevm758/PDof2TAC+EfYaj8fFiJrF0O/3IxwOv7JZs2maYv7LfD0Ar3Ud\nkJhz2tefTqfQNE3INel0Go1GA6PRSAyOOZqj3IMjOR6KaNI9Go0QDAbF95NFkBmA6XQaACRyiZZa\nbm2m4ziiOzNNc0EUnkqlRMNo27aItLmTZdI2O7twOCxZhEwf4O+Qzjnsvt3eq+5//2W4PSe5c+b9\n6bYCG4/HaDabsqPz8FbxUsXNCys9B3CTRUKhEACIRs4t+l5ZWUG73Uav15NdCb0lCZom8+HF7rJU\nKqHT6QiZg3ZH+XweqVRKSCNc8DOzbTabIRaLoVgsLnQ97K5GoxGazaZYge3t7cEwDAQCAZimKZ1F\nNBqFpmm4c+eOMCDJsKQOqlKpYG1tDc1mUzoHd/EIh8MyVqR+EDgpauwA3PZddNog+cK9kzmtKPl8\nvmcWPPogskCy83teVtqzwMMBHTqoASNxhDtHjrybzSbu378Pv98vgbb0XqS5taqqciBhIQ+Hw6Jp\npCg+EAigVCohEAhgfX0dw+FQvlYgEJDOnFE31Buurq6iUChIoCjF1dyzhsNhOI4jO79qtYpUKiXF\nhw4p7NZZlE+D++2z2UzGr2QB01yc/4aBQEBel907TQv478pIKM+q6+zA69zOMNxkEY5UqJPjg4yC\naQCi8UkmkwudD3dv9AdMJpPyMcCJTVez2RSxNjs7jgMLhQKGwyEqlQocx0EoFBLvR+7TeNoluYQE\nDqZsd7tdEfOapolCoQDHcTAejyXX6+DgAI1GA1evXsXm5iba7TY2NjYQi8Xk81utlmjwWEABSCQL\nOwdKHRzHEecNkhiAk3Hc1tYWLMuCoigLhtKRSASNRuOV/634+3C/LRwOL6SLP09c7U5/8Pv9SCQS\nMAwD3W5XMvWY+8dRXzKZxHg8RqVSQbfblU5oOp2KjtJNuHGP83w+n3RiJHmQut9oNLC2tobV1VUh\n8/CaKxaL0mEBkGtmOp0ilUpJ99tut9FoNJBOp4WF6j6o2bYNwzAWfmd0zGFXRpLUs0DWr3t86baz\n489LuYOiKLJTXpbieB3bOwOPUHKe4SaL8LTNEy0zsk472fLkSb2Pm6IfCASwtrYmndNsNsPjx49x\ncHAg48psNit7KQqrq9WquL9TA0XGZTweX/g+OB4DTrwpu90uut2unNCvX7+Ora0t0WtxZ1etVvHw\n4UMkEgl8+OGHME0T6+vr0HVdCpDjOJLp5fP5hBYeDAaRSqUQjUblochRrM/nw8rKinxvAMTJgt0m\nu8j19XWhhz9PMMxxaj6fl5+VD1V+XiAQgGEY0vHwbeFwGIlE4tTX5Q6I3wM7dXdnQyYq7a+CwSA2\nNjZw+fJlABCPxWg0ikKhgGQyiVQqhXa7LbpGd+AtmZB7e3uIRqNQFAXtdhuz2Qy3b9/GbDZDsVhE\nIpGQfWy9XseNGzcQiUQwm82Qz+cBnIwFv/76a+nUk8mkFDMafbPg2LaN4XCIw8PDhW6ar6OqqvhL\nvuz+k+n0JM7wIEFyE8ew/P1T6uLhbMLr3M4Y3GQRPjjpnE5z4+ft9NitUfBKiy3TNJFKpRYK0b17\n93B4eIhcLodisQjTNEVUS+Fto9EQEgnF17Re4l6Hp1+ezIPBIHq9HgaDAarVKvx+vzzQACCbzaJS\nqQir7fHjx6jVarhy5Yrsm2q1Gt5//31Jh9Y0Db/73e9kjEZ/Se7qYrEYhsOhsFQNw8BoNIJpmgAg\nBIpQKIQbN27ITq5UKkmXtL6+Lua7/L274S6oLFzsrOnukslkoGnaQvfIrDzujLjjXH6oRyIRRKNR\n0abxd8numPtVfp/D4RDr6+tYXV0VU2G6dGiaBtM0YZqmZPjRZZ+MQR4Srl+/jmq1ivF4jMuXL6Ne\nryOVSgnTleLtYrGI1dVVdLtdxGIxrK2tYT6fo1gswrZtXLt2TSKSKO7f2NiQa4Rm4Pw9KYoih5/l\nQxLwlPDDTux5Iu7T4N7T8RpkqgALH38HvNc8vBPwCCXnCW6yCPdGDAIlu/FFAvDRaLTAZOPn0eHB\nXRCPjo5QLpcXkpUZKULaPYkimUwGwMnDptPpiLSBuzJ+/+zauLhPJpOwbVv0aZPJBKlUCpZlodls\nolAooFar4d69e0ilUtja2sLm5qZ0XsBJUrlhGKhUKtjb2/t/7Z1Zb1vn9fUXKYrT4eEgUpwkarY8\nSJYTJ3GTBsW/LVrkpkBvCvQb9L5frJ+iaIG2SYugQeoktpzIkiVr4DxIoqj3wu/afnhMStRo6mj/\ngMCtreFwevbZe6+9NmKxGBYWFpBMJlEul1EqlRCJREStR3VeOp2WQMB9dQwsk5OTYsbM54cl3kql\nIs+7866emS0VnOl0GgcHByiVSjJPxtmvcrkMj8cjpV7eELDPyUObQY/ZCu3KzLlD27ZFBs9MnMpF\ny7IwPT0tN0S8nlwuh2q1ilgsBsuyEAgEUCwWpRfJ+cLj42PYto1IJCJqylAoBNu2pZ/l8/lEZBON\nRhGPx1Gv12HbtqypKRQK4kMai8WQy+XE85GlQGakrBJQ3UknFOfNF/A2G6NHJBXCZ4ViI5YvGSgP\nDw/Fyo29TeW9o2VJN0DBB3spHGCt1+tSljqt0c3SCw899nrMfpzJ+vo6Xr9+jTt37iCbzYotEkUq\nlNIXCgUkk0kRXJTL5a4sySzdUdLPMhK3bBeLRVSrVTnMOJfGDQEMlpyPm52dlcWWX375pfRnnj17\nhnK5jFgshrm5OQQCAdlswH4a8CZ75GwWy6o8mAFIEOPhxoOOGSOz4l4OJ3Sbp0UUNy6Mj4+L6wtL\ncezzmG72/N3MYFgesyxL5hFbrRaSyaR4fgIQ2fzCwoLYlbGvdXBwgHK5LP6Pi4uLYk4dDofRarWQ\nSCSQy+WQz+fl2hqNBqLRKKampnBwcIDFxUUsLy9jd3dXXn+/3y9b1re2trC/v4/19XUp49brdemR\n8Xps20YqlRIBCZfMmiXWTqeDSqUimeHKygoCgQC++uqrd7JlwnItFZoX8RJlwAyHw0ilUjLzdhvs\n29yEBrchhXfZnDujsrHRaIgIhCKCkxrqFEnwIOT3nXR3Oz4+jqWlJcTjcREjFIvFrjtq9pPYw+J1\njhq0lpkAACAASURBVI2NveOyzuySJVUGv2fPnqFYLCIYDMK2bcnGOCf3008/SQY0OzuLbDaLra0t\nCQIMQp1OBz/++CMCgQDy+TwikQg2NzdRrVYRCAREaHFwcIBkMolMJgOv14tMJiNiGgBS1t3f3xcb\nKyo7LcuSzJWPz4TqO5YJGfT5fB8fH2NqakoeG+fUmJ0wW+OuMwY0Pn+hUEi8NalO5I0O3TZyuZxY\nZVEgwQWddMCJx+PI5/OicrRtW4bYx8bGkMlk0Gw2USqVZDC7Uqkgm81ieXlZZtsqlQp2d3fh9XrF\nBYZBjs9TNBqV4Xv+x5lJ9hzpKVkul2Wgmxnd+vo6yuUyfD4fVlZWMD09jZcvX/Z935p+kRxHuGhA\n4uOzbbvrc6QMPzoKMIRwBxpl3s7Mi321k2DGx+8x76BPg/2FdruNtbU1mZ1iz4fDzOzfMeuh9J8H\nNBVyLK3VajXYto12u40XL15ga2tLDktmT3SpePr0KcbGxjA/P4/9/X2MjIygVCqJYzy9ODkbV6vV\ncO/ePTx8+BCbm5siiOBsFPDm8MtkMhIcGbxoycV+HeeraDHGjQg0A+boAGEpkOU9PnZmr3t7e/B4\nPLh79y4sy8L//vc/KcfxoAeAxcVFtFot6TGxBMzHGgqFZASD7iucSzs6OkKr1UImkwHwRjjC4Wsz\nAwkGg1JS5WuSTqfx0UcfoVqtinsNM2yOAfz1r3/Fn/70J0xNTeFf//oXNjY2sLm5idXVVXH78Hq9\nYsP26NEjAG/GL9jn48JZZozs0fK14v434E22vbW1hadPn8Lv9yOZTGJiYmKgzw+l/lQOX8ZiX45F\n8LpVOTn8aOY2RDADoqrOdE9gSYxOISdxdHQkPSyWg86zyoPuJRzCZX+Gpc1ms4lGo9ElZKHiDID4\nU3q9Xun/dDodvHz5Emtra0gkEvJ4GGgODw/x9ddfIxAIYG5uThZcer1eZLNZ+Hw+7O7uSgb3+PFj\nPH36VNbdZDIZrK2toVgsynPKa6QNFLMk+ity1svr9WJyclLm2ZjZsIwWDAZFYUqVaiqV6loky5sI\n9kdt24bf75cSJbNhc1Cc0n667tPBo1AoiP0Xgxf7mYFAALlcDtlsVoIEFarZbFayY46FmHvRuPSV\nbh5ra2sIBAL44osvpIx6eHiI1dVVHB8f4969e7KvbWpqCo8fP8b4+Lissnn9+rVkSMFgUMQgLKN7\nPB5sb29jd3dXxg54vaZd2MzMjPTdotEostksRkZGsLm5edaPkihaWV24jCyO7wveNCrDjQa3IYCZ\nGQ9OytQbjYYIQFiCPC1AcXUOhSeUj58HDnxTWWcqxriPi1kQDytmiZzBYymVvZSXL19ia2tLNjqz\n/8Zh7tXVVRwdHeHOnTvwer0y48aRgFevXkmP6oMPPhBBxdzcHCYmJvD8+XOxGGNpl4Hgo48+kiC0\nt7cnxsE7Ozvwer2YnZ2VTIpBnBlYOBwWIcno6GiXryIz2+npaaRSKRwcHEgGwsfAPhbv+i3LQiQS\nQSQSweTkJBYWFpDP5yXATU5OYmJiQh5DvV6XfiHXBxUKBfFGZGBl+Y++nMyS2IfKZrMiTKGQpVQq\n4dmzZ0in0/j5z3/eFSDL5TK2trYwMTEhi2JzuRwePXqEVCqFfD4vX/vBBx+IXRfFLrlcDlNTU7As\nC9999x12dnZkGJzlWeDNjVQmk5GycSwWw4MHD/CLX/wC8/PzfXttpzEyMiIB1hwSPy8M2FTBKsOL\nBrf3iFMsQjUWV4CwrDZIgGIwpF8kS2Tntfna3d2VPW2ceyPsybBfw94S1ZDsA7GkxzvetbU1CeKZ\nTAatVkt6MN9//730hn7zm98gnU4jHo+j1WohlUrB6/VifX1dhAgUuzx9+hQrKyv44x//CJ/Ph3//\n+9/iWE9BRSKRwOTkpBzM5XIZ7XYbmUxGpOoLCwu4c+eOZJo0cGa/MBKJiESevTUGDuDNoZfP5yVj\nYrZglh6ZFXEOkVC0Mzk5KcPSPp9PZvOolD04OJBhad7weDwelEoleDweGdJm4OMONJYnOVOXSCTg\n8XgwMTEhfcuNjQ08e/YMExMT+PjjjyUAvn79Gpubm6JC5JhCKpVCLpdDMpmU9TbPnz/H3bt30W63\n8ezZM+zu7oox84cffihlWb5X6XvphOrLg4ODLmXseWfOeDNklhYvksVRucqbUhWaDCca3N4DvcQi\nXq8XrVaryxuSA7SnBSgayrbbbemJXaQnwPke3q2bMMPiIUrBBf0CKfCg5REDA4djt7e3MT4+Llkf\n3UUCgQAWFhbw5MkTWWVSKpVkXmx1dVW+niMD3377LTY2NjAzM4OpqSk58BcXF2Vmbnx8HLlcToQw\nnKdbWlrC0dERUqkUJiYmsLy8LM4dzD6r1SqazaYsZWX/isPGtJaimpKzc3zO+Lg5Q8X+6eeff45E\nIiGCkbGxMdmdFwgE8PjxY8TjcUxPT2N5eVl+Hm9yKHlvt9uwbRvNZhO2bePw8BDlchnZbBaFQgGZ\nTEZGEyjWOD4+RjabRSqVgmVZ+NnPfoZf/vKX+OSTTxAOh5FMJvHb3/4WDx8+lG0BlmVhc3NTsj+6\nvWSzWbHzyuVyMrfI0YOnT59KYPT7/VhaWoJt25JFsR/bS6TBjIulaq6puUi2xBsMzvVdJItjmZef\nWxWaDB8qKLlmnGIRbsPmh5a9gkFKiaZ6kjNZl7E6x+v1Ympq6p2/39/fx87OjvTeTEspmt3y6yim\niMfjskPuxYsXYgfFDGJvbw+BQAAzMzOS9dD7kKUqLsnk3Xc6ncbLly/x3//+F7Zt4/79+9je3sar\nV6/w2WefYWNjA/V6XdauUIyRTCbxn//8RzwLE4kE5ubm8Le//Q0jIyOo1WrS7zF3wlEMwayDw868\nCUkmk5LZRSIRGW5nZsfsj88NRS18/ScnJ8VlhcIVHvr/93//J7L/r776SkqQ5XIZ0WgUsVgMtVpN\nsrfDw0PEYjEZDn/16hXq9TqeP3+O2dlZTE1NodFo4OOPP0a73RaPTgZ03lj84Q9/wDfffCOD5D/+\n+CNWV1cRi8XQbrfluVtbW4PH40G9XsfHH38Mj8eDYrGIXC6HFy9e4Ouvv5Zhcc7hsQfLMi1XGfV6\nH1LpyiqGWb4/L7TZYmZ4kY33VJSq0GT40MztmnCKReityBIk8FamP0hg41449mHC4fCVL1VktsVM\ngkGKhw0VlFyMyRLe4eEhvv32W+kL1et1JBIJyYrYE6H6kr8rk8mIBRKFFRwxeP78OQDg0aNHqFar\neP78OUZHR/Hw4UMxU6arhd/vF0sqzpGlUiksLi6Kx2Cn0xEBTiwWw/r6uuysY6CmTJ3+jjMzM5iY\nmMCdO3fwySefiOqSohBK0s3DmK8vh6CZ1czMzMgsHQBZ7UPpPgUtDAQshdG3cXV1FdPT0+I+Eo1G\nMTMzg0wmIyMAFPVYloVkMonl5WUZQ+C1s6TMbIzZYSgUwvfffy8CJ26MePTokdy8cLt1NptFIpFA\nOp3GxsYG/v73v4uwhWIYbiRgBaPfXBozJA7gc2bxor2z81p49cIcYlehyfCgwe2K6SUW4WHAEiRL\nMIP2yBqNBkqlkpT6LipzHhSuHeEaEXMonCUvbhc3/SlfvHgh5br19XVxq+dCUUrtW60WwuGwmDQf\nHR1ha2tLyonc61Uul7G7uwvLsiQT3N3dxezsLFqtFr788kspeWWzWaTTaaRSKezs7KDZbGJychLz\n8/OSQXDhJV0qOp0OisUikslkVx+RGSAFOww43HNGhSWXXXIGkFk55/mYnZqWUfF4XHqlzARrtRr8\nfr8Eac5beTwepNNpHB4eSma1v78vM3QUtKRSKdy9exfBYBBzc3PS72MPikPWNLnmQDaVpLTVon9k\nq9XC119/LSVwimju37/ftRyV3pEckv/nP/+Jf/zjHwAg4yHcG8fPxkmbERjg2KPm8PhlBBJ+JqlG\nPW950Syjqh/lcKBlySvCuYaGAcj8UPKQGbTE0m63Ua/X0el05DC8TvgB5t07D31eP0cDbNuWHglX\n5aTTabHRyufzEhjNAV9aPO3v7yORSIhjfLvdliDIkYjZ2VkRnHz33XfimLK+vo7nz5+LEGVmZgZj\nY2Mol8v46aefMD8/j8nJSfFOrFQqCAaDKJVKEqxKpRLa7bZkWcxkEokEyuWylNh4LeYiWA6K12o1\n+Xm2bcuNCPtl9JjkCEAwGESxWEQkEkE+n5eSKHt5L168wPT0NLLZLI6OjuTm4dNPP8Xk5CS++uor\neL1eLC0tySqbRCKB2dlZpFIptFotybiZ4fN9aG5HqFarKBaL0hfNZrNYXV3F+Pg4pqamsLGxgQcP\nHkim5fF48ODBA7HtMgf2OXf38OFDuSkynzcqSovFomxdOMmQmu899uDMisdFcG6FYLZ/3p9DkdhF\nBF3KxdHM7ZLpJRZhD4UrXIC3H4Sz9A544HHp4/uAZSVzPQxXwhSLRVmp4vV6JcO0bRsjIyNIpVJY\nXl4WBZxp2MuyYLFYRDweR7PZ7DIYtiwLBwcHKBaLCIVC+OSTT5DL5bCzsyMluc3NTWxsbMiQciQS\nQb1ex/r6ujx3NOxliZN7xRiAOJvHQ5aZWzQaFWcO3mRQncqeTTQaxaeffirZLG2y+CffG+12G2Nj\nY8hms/I7OXowPT2NUCgkfpgUqzBrY48sm81ibm4ODx8+FINi9kO5ZYH9wPv376PdbouHZjQalcDG\nzDEajcpYBkuytm2L2tM0YTZVr5yhM/t1LNPRT3NqagrZbFbWEpnZUTgclqWwu7u7p9pm8TnhSAZv\nIC+Dy7DwUqHJ8KDB7RIx19BQAHF8fCyiAvr28U79rD2yaDQ6FOatpjsI+zQUUFC6zl4W7ahGR0ex\nvLzc1XhniZHKROBNT4ojBPSiZBB6+fKllJFoH7WxsSEbpre3t2Xui70flvDy+byU2xiMOp0OyuWy\nKDApCuHvZqZKAYplWbIhIRqNIpfLYWZmBr/+9a8xPT2NZDIp83wcVGbZksIJ02z4888/l6DCnmUy\nmZRBa67c4eNLp9MA3jjBmDN3zND29vZQq9UwNjYm2765quf+/ftoNBqyJYHzaJFIBM1mE5FIRAIU\ny7Lc7MDfNzIygkwmg0qlgmKxiEaj0eWRyWDA97ZpAca/5zYDs6TIwM3y8mkBgZUQKnW59fsycFp4\n8XN7VliRobOQcv1ocLsEeolFAIj9Dz8cZxGMDCvmcDYHuDkQnUgkujZ7cyO32WuiIMTv9+OHH35A\nIBDAzs6OOEnQdX9ychLFYlFUgxRD8M6dO8fC4TA+/vhj1Ot1FAoFvH79WjY/5/N5PHnyBJ999hnS\n6TQWFxdFyEIhgWVZSKVS4oTCDdXAG8HM/fv3Abxdr0KrqVgshjt37iAajUog5F1/rVYTsQ0HvGnd\nxT4XZ+nMQMuAwBIiA0MgEOi6cVhYWMDCwoJYbPl8PilXejwezM3Nye9mcKXnZrlcxs7ODhKJhARb\ny7KkjMvfx51tx8fHYuDM9/fDhw9RKpXEQ5LwNTQDBN/zxWJRMjqWbwkzvlgshlarhVKpdGpA4ewk\nS52XnSWZnqCtVutcWZw5r3cRwYpyPjS4XQA2oU2xCHsK/EBwozEPmZteg6eYhCISn8+H8fFxWXvD\nYF6v10Wu7vf7u5woeAjmcjm5+08mk3IA0iB5b29PhsgrlYrMg1FSzrGA8fFxjI6O4t69e6LMu3fv\nHp48eSKDwxMTE3j8+HHX7q9KpYLFxUWZ66NtWafTQbVaRT6f7yobN5tNBINB+ZMCAgbvaDSKnZ0d\nKQlynsu2bdi2jWKxKG4nplCFWRvLvRx85w0Bv5bD6Sx3A2/7Z5FIBCsrKyJxZ7mw0+nggw8+wMOH\nD7G0tIR2u43V1VVZpkqFI8uj7HtydpJrb+gdWalUpJS4vb0tghZmqnyPAG/FGqxiUIQSCoWkr0kY\nTBhoKUo5Cb6X+Dm7DIstE74mFzFiZvbP11W5PjS4nQNmJ6Y7v7nVl3elDACXNX/2vmHWxlKZM1Cz\n/9HpdPDq1Ssp51GByMOI6kQuvOSs1vHxMSYmJmQZ6Z07dxCLxeDxeJDP57uyHWaJ3NuWz+exvb2N\n1dVVJJNJ/O53v8PCwoJc4/HxsZTgqFI9ODhALBaTlTAUKmxvbyMQCODu3bsolUoiJOFQ9srKCj78\n8EP5PgAy+0ePSp/PJ04oXJxaLpclcDFTY3+OLvmmETUPRoo9wuEwVlZWRGRjWZbsxqOtFjNH/kyq\nQIPBoKwoevXqFUqlkriYAJAZvlgsJmVDXn8gEJDss1aroV6vI5fL4fDwEJubmyIO4hiEWcozS7vM\nUNnfpOqSsHxLcwD6g54EsyP+vqtwDHG6B521zMjnn1mgOppcDzf/xL1G+olF+PfmG5duGTe5BOmE\nJUIe3ibssY2MjGB9fV3m10zBATMT3mlHo1HMzc3JehOuiTk4OMDk5KSYKVNwwd11tm3L8w1Aekvf\nfPMNAODPf/4zFhYWuq6PQ8DAm9kwZtyWZWF7exu1Wg3BYBCvX79Gs9nE7OysBKtYLCbD0QcHBygU\nCtjf30e1WsXs7KyspAmHw1heXsbM/18calkW7t+/j0gkImMM9ODkPBlLlIeHh7IVnPN+vImgTJ/P\nAQeeV1ZWcOfOHZH3W5YlO9L4WpiqRppL0wSbNxyctWOWxtJtp9PB3t6eLFH1er0YHx8X15lMJiNq\nWAY3jlOYZThzKS4rGty+zc0L/DqWAun2wp18J8EAyvfCZWdwvDa2HM5j4aVCk+vHPSfvFdPLWcT8\ne5YfAbjWqYB35E6FJ0t9LNOFw2FxlmcfiqVIU2TCw4yu8nRmiUajUvLk3T5Lc5wdo7PJxsYGstks\nms0mCoUC/vKXv6BQKLxz7dxFx/U0Ozs7EhTy+bxkeZw1y+VyXa4lHL0YGxsTN5FYLCaiITrsc1s0\n+2WcpwuFQjLYTZsvPhc8JBm4OAjPvhVvJlji5LgCgz0FLCztMnuLx+Mi+uHzODMzI/veOBTN6+Fs\nIV/LSqWC0dFRUZpyKS5vQPL5PHZ2dvDDDz90LU/1+/3icWpWLEw1Kl9vloLD4bCsquF2cm5cGATT\nzYSBtZfryUXh5583ueaYzyCYjiZn/V7lbGjmdgqmWMQctDaHs02Bw2mLQG8qzLgonjD/nock1XFz\nc3My5MwD3Px+c8EqD7+VlRUkEgkZYA4Gg3I4si9Hefne3p6IMyiT5541KiSdMABQjcngyP5UKpXC\n5uamDD/ncjn5N7/fj9///veYn5/H/Pw8kskkCoVCV1BoNpvY2tpCs9lEuVzuWmrK9UOZTKZrgJvD\n1iyJsvfFUm69Xsf+/r5sCy+VSvD5fPJ7GSAYjDqdjuzao+zeLE0CkJk9Bj3OnDH4h8NhMbPmJgNz\nfpFD6hTdLCwsyAgHAxEzzl4+kGaWRfEKR0IYlHhzyBuaQem1rPSqcBoxnyUTU6HJ9aDBrQ+9xCIM\nYiyJmYfoWWfWbhpmmYzwAOcBBUCGsLn2hodrp9ORmwMT27bx6aefyhYACjHM38veJpv7zKbMVSwb\nGxtIpVJ9D0Nml1zwSfEKPTHL5TIqlQru37+Pe/fuiZ8kAyJ/RiwWk5EBj8eDX/3qV0in0/L37Mt1\nOh189NFHiEajKJfLMmDNn03rNd4AmCuKGLhMw2B6IFKpynIvgwjLjnNzc5icnJRZP7M0yeyNwdPM\nokZHR2WQOhQKwbZtAJDRhZ2dHbmx47Xwhu/evXvY3t7uOqhZ7uzVn/J4PJKpMYMxLbwASD/xrCpF\nBjhujzjvqpxBYBZ3Hgsvfq9pOadcLhrcHPQTiwBvsziWeXgguUUw0g96+ZkZF3sbZgmWgY0iCX4d\ngJ5LVjksS1m3E6ouTduyZrMpGc/CwoLMls3NzSGXy/V9DDxEYrGY9MuazabsqUskEshms5iYmMDY\n2Bgsy8La2lpXxp5IJOR1tm0bExMT4j1Jo2X2rB48eIB4PC6rbdijSiaToqxsNBpywDGD4pwcxxW4\n645jD5TRU6RjZnHM5OiuwhlCSvpZcQAgClbuq2MwYmZHqzVzo3W9XkcwGJTeIXt27N9xAwAxg3Ev\nzD2A5vZyPt5QKCQZ4lmhmtX0br0qzmvhxUAMXI0Q5rbj3hP5jPQTiwBv/SE5U8NDwW2CkX7woGVw\n4vNhlih5ADI7OD4+lkOLSjsTHgQn2Y/xOTef52KxKOq9QqEgvc5kMtn355i75aiY5JgCg0w2m8Xs\n7KyMbABvhuaXl5dlNxz7aNzd9sUXX8jcG4UU3ETAflEwGMTy8jLS6bQEF8uyxJ2fWQtLhwxWfK8x\ns6TRMLdAOAMVRRR0kAkGgyiXywDe+jnyvQugKwvn88PsjT3DTCYjNmLM3jhYz5/BUmg+n8fLly+7\nPCI5FN4vo+F7hzcuDK5myfYimU0wGJT+3VUHOPb8mI2eJYvjTcR5XVGU3mhwQ29nEX7YzEMbeNuz\ncMPM2iCYWRvwNrM1m+G0duLheHh4KOU8+ic6fyazvn43B5w1Y1ABgFqtJpvB6UsIQAJcvztfiiT4\nOA4ODhCPx8VzknfNlmXJqEOxWMTKyorYhVWrVekZcjyB184SmFk+NQMGD3mW8th3W1lZke0AfG4B\nSI8SAKrVqszJhcNhsR/jvCF/PscFWHaMxWI4OjqSPh0VquZzxGyN5UmWkin/5+oczuYVi0XxXuQN\nD0vO6XRajKtNmEn229nW6XS6Son8/Swjn7c8af5+y7JQrVavZXM2XWlYdh70ulm90M0Cl8etDm79\nxCLmv/GwaLfb8sZ1cwnSSaPREOUi53R8Pp8c7EdHR7JslCo/j8cjh7HzBoB35ZSG94PlKHouAm+2\ng9OA2HlYnhbc6EbCn5vNZlGtVrGzsyM2SRQIMDOnIwoDeTgcFj9IM0scHR1Fs9mUAM+yNm2hGIj4\ncyuVigw/m5mKOVJAoQY3b9MphEGU4wPMqDljaLrhFAoF2LYtmRuDnwmHoFl+5A0KBTzpdLqrr7qz\nsyND77yp4NdPTU1J78x8XXh9TmjdxQDAdT001DbHJXjzeR4CgYDs6LuO/pbpG8sy6yDwfDH3Oyrn\n5/ac0gb9xCLmv5klSAC3pgRpwmyH808UKPBgPz4+RrlclsP/9evXCAQCGBsb6ynDpmnwaTcIPNQp\n3ADeBDu6lPB6TMwyXa+fx3JzpVLBwsKCHJipVAqhUEh+LveXMUCz3MjrYO/KDMxUdc7Pz8uMV71e\nlz+5RcF8HqhmbLVa4nDCPhHfexMTE6jX6/LcmzcXPPibzabMAzrnu/j8mW4lzueJ4hIAXSVL3szZ\nto1EIoFKpSJzflRQsvTGAMcbAmbvhGrMXhmJGdx4PTTaNvvbpq3beaD59XX2tc5jxMzAyNK/9uHO\nz606rVlmdK6hcf4bm+U0jnWjtH8QKCDg4KlTLck5qHA4jGfPniEUCmF8fLzn88WD1xSl9KNcLiMQ\nCHSZRG9vbyMUCiEWi8lhx0ADoO/P5AiCuRjV5/OhXq8jFouJJ2Y0GkWpVBJhA8uOptKQAcVpXs0s\nytyXFolEZLDadKphtsIshcpE9rn4vqNjyZMnT+SAOz4+xvz8vPQ6PR4PyuUy4vE4RkdHJRD2giVE\nc9iacC6NGRaFIDycuVqI84r8PZVKRYa7+fUsqVLByc+Y2c9zXpezP8Ubi3q9LtdFFxQG3fNwnjU2\nF4UlV5aj6at60meA32OuzrlN1aLL4lY8YyeJRYDuO3uupzFlvrcRBnpK5wF0yfgrlQoAyFLN0dFR\ncd43MS2HBtlv1Wq10Gw2pa8FvMnaaLHFn+8ssfUrS7LfxkWoXKaayWRkFID/sVfCkhyDJwMpZxmd\nj5HlO36Pc/EpMxoA0j+LRCIyDMxBcD7vdEYBIAGDJVJab9FOjGUvztr169eY8269sl4KWcwgyIDC\npaWmYKXdbqNSqcjrwOeSj5tlTtNTtJe4xFRzOmHw52Niue4munucx8KLPenzGjffdlwf3PqJRYDu\nEiQ/3FS4uXlmbRAajYaUmJhxmdBJhDZaMzMz79xdMrDxTnQQAU6pVJLN02R9fR3RaLRLROIMbr36\nScBbJ/ulpSXs7+/j1atXGB8fRz6fl9KhOW/G62b/zTyUaVPlZGRkRJxJmHmZc38s5fJAY1Cj6tHM\ndjhn5uy5MKAy+PA1YT+Y2ddJwY0BpNdBaQ5yMwjyGtjnNFfZcMcbl+fy53M8hlmeWSrtNxrgLE2a\nhMPhrlmyqx7OvkqcFl6D2ISp0OT8uDa4nSQWMWfZWN5hgLttgpFesATFg7TXduReYhET9gyoHhwE\nroqJRqPyd5VKBfV6HRMTE11f2+tAdB4U5nB0IBBANpvFL3/5SywtLcHv96NWq0mWQjd99qjYx2Km\nxgBy0nuDAYgHOHeOsdTp9XqlrGaKJfhepXDH3DLt/Pks45nqXWYELE2edH3MQHvBIGs67fP6qRLl\n76Uy9PXr1/IYWNbk4+Xv5GOhjVivwH1SZhIKhaRMzT1+N1lwQZcWzm2eFrRUaHI+XHeKnyQWAbpL\nkKYyjL2Y2w5FCiw9DZpxmfA1cKoKT4MjFrVaTbKw9fV1jI+PvxMgneW1XtfodObgnwxcZobF8g+A\nLnUofy4trk6CQhOOSrAczvcVgx1/FrNFZrd8rkwlKmHfjnNmHP5mSc+2baTT6S7hihMGt35lQGap\npgMKPx8ej0cG3vlzODJhmmbze0zHEwAS4ExfTfO6Tis1cnaPgXdvb+9GZzLsXw9qxKxCk7PjmuBG\nx4xeziIARFTAO0zaCt2mmbVBMPfQDdIjc8LG+XlMYbkbjm706+vrPbM24G1w44e8V1mSWQQAyS6A\nt304y7JQqVSknGgOqzNQdTodxONxEU4M8hj4eylpN6+BBxOHsiORCAqFAmZnZ7tk/HwuCTNQZjlm\nGZGlz7GxMbRaLVl50+vaeikmTUwxCYMge9AsvzabTcTjcblJpPE1hVrMLFkRYS/SXJdk9t74Mbj4\nxwAADn9JREFUWp4U4Ph+ZBbu9/sHWokz7Ji9/dOyOLO8r5sFTufGBzen16MzqDnttExll5Ygu+Hg\n9HmfG/aNThrOPg2v1yvOIZ1OB9PT032vwyxNOgUlnC/j4LQpeGg0GmIvRfNemhtTHWtmfZZlyTqa\n02AA4C47Hujm8LvH48HExIQcbNlstis4m6VyQhUvlXfsaQHdWdHMzIzMV/UKcM6bgl7/zgyTP5/B\n6ujoSJSlLFO2Wi1Uq9UuE3GzxGvOzHG0pFfwHiR7o7gFeLM/L5lMDvSa3ARYZeLGgJOeCwZ5FZqc\nzI0/2Xl36RSLABCxgFmC5NdqCfJdKA7gfNdZMMttl6Ew9fv9KBQKsuG7F71KkzwUmBnwa9jfYA+R\nmSXXlrBXZcrZzV7ZWWBJMx6Pi+iG4pFgMIhIJAK/3y8LRtmfMw8q0+YKgPRA6T3JbQSmaAd40wul\ndLzXIWmKXvrBkiqzV7P86fV6kc/nEYvFMD4+Ln03lvuZVTL7N1WXdMKnJ6ZzqekgZUaPxyMjHG67\nMWXpcRAjZrM3e5PLs1fJjX938ANvBjXT+oazQ7wrP0+p7TZweHiIarUqB8dZ4Gbr686EnaISM9jR\nbYMZD4eO2bdipkQZO02PebiwfHce1SzHSTh/xueH2VsikUAwGEQqleqa0zMDjrkyhpkWZfYMvhxd\nYJnVDPQM3s4AZ/bdToLBh58Xrv9hz7LT6SAajWJqagrFYhHFYrFr3MYsb/LwpTDFHBngAT5I5nZb\nGNSImcIUFZr05sYHNxOzBMn+hLlg9LbOrA0KZdeDctYZtsumV5+NBzfXxTCoVKvVrv6qWTIDIIc3\nMzdmKucZ/DWzPc6h0eUkHA53qS5ZsnQe7qZi0tzHBqCr1Mqg2KvUaApQzPItqxgnwZ/NIMpSqCn1\nPzo6wuTkJO7evYuDgwPYto1yuSyZqPmaMMBRfcoSLX8uszwts73BacTcL3ip0KQ/rgpupvsDFVxc\nAKmczNHRkQwaDwJvJM4yw3bZmHJ4/n9TuMDD2RQyUG03Ojoqa2oODw9l8zWh+u+8N0QsM967d0/s\nyPqVwhnczDk7CkZYEjQtsuLxuPSb+Hj6qSTpfGKWr8xRhJNg9sXqCAf7+ZqzHPrgwQO0221sbm52\nlUiZfZrZG/8eeJtd8+DW7O1dBrHw4uvRrxR9W3FVcONhYM6saQnydFieG/QmgHeJdKt4n/QSlXDj\nAA9j/hvfDxwBmJ2dxeHhIZ4/fy5D62ZQvIjtkVnaPM1qiY/DPJQYCHmTZnqfZjIZzMzMdD0mllV7\nwf4MvT3NgeuTMMUhfJ35nLIcxqDFjHR6evqd7zdXIBH2DoG3md1Jw9y3Gb7OphFzr9ea66NoTHHb\ncU1wY0PbTOeVweAd9CCYw9nvw6vPiRkUGLj4eOr1OizL6ioLmv2rbDaL8fFxrK2toVwud62S6Te8\nPiisIgxyWPN6GAyB7nEAZnYAJHMCIKIKqj1P+l1mf4bBcpBrM5eh0rGGJdxAIIC9vT1sbW0hl8uh\nUCi887nj91OlbD4/VFCaCuZ+M3jK2yyO7YBeAewspgluxzXBjWIAnVk7G6ao4jQoUz5pweh14wxu\nzCjpts//Tad/MwvqdDpYXFxErVaT8iTwtgJwlv5jL5zluJPoVZJj0DKzR/O1Yv+Kv2eQTMzsnw2y\nUNMUh7AawrVBrVYL29vbiMfjiMViJ34/e6FOAZDZFzVHDpTemPN+/Sy8zC0WtxnXBLfR0VHXSYOv\nAx5ap90QXMYM21VgBgWW5yhhDwQCqNfrXVmm2b9qt9vI5/Pw+Xyo1Wqo1+sol8tiy3ZRAdIgsntn\nWdI8qFiGMq+DvUB+j7mCyLkotN/vM4P+oI8DePN8WZaFVquFH3/8Ee12G7lc7tTPHb+/n3Gy6eai\nopLB4MwjMLgR821Do8EthnfSpwWry55hu0wYHFjS83q9Mujr9XpRq9Vg27Z8vbkfjIPQT548QaFQ\nwO7uLl6+fIlXr15JqfCinJa9mcPnzlmvYDAopXZeu/mYAUjmw3GHQeCsWCqVGvhxUPjh9XqRSqVg\n2zay2SwikchAKj2nQMaEClWONaggYjCcRsyqluxmeG7BlWvHdL3vhykgGNZyr7l2JZvNijjBVHMS\nBjcKKzweD548eYKlpSVsb2+j0WhgdXX10twv6IxyEmZwc4pKzGDXS6DC1y+RSHQF8cvGNG0Oh8Oy\noYFtAFN0ctL3swLg9OnkPCqtxJw755T+cNSJc4bnsb5zI/oM3FKYtZ3UV2LZapgDG/BuUKDootFo\ndG0vYL+NakhTEGNZFizLklJbPB6/lGszVY69sl4zc3MOcjMTpRwfwDsZJfsrXEtzlXCtDm3sCHfJ\nnSZk4Fwbe37O4GWuggmFQhrczgiDGsc+Ttti4XZu7yO/5ZyUtVGNBQx/YAPeDQosbTmDNw9U9nR6\nBRtmfZf5mE8qTTrLks7gZv6daWnl/PncwnCVUBziHChmafQ0gQrLaBSP9Pp3y7LQ6XREtKKcDa5r\nGsTCy+1ocLuFmEsle/0bFYenrXgZFswAQOm8uYeMmJL0foHANPa9LJy+kU7M4OZcc8NhaaB/9mfb\nNjKZzKVecz84TuEM1uFwGI1GY6Dvp0NJr96a1+tFPB7XstoFGdTCy81ocLuF9Mva6IIwLDNsg2KK\nShjc6IFoYu506yeM4Tbsy74+9vlO+zrzEOp0OjJ8DfQPbqFQ6Fod8pm9meIFZmSDwAHufpZSfr9f\nREHK+XFaeN22LE6D2y2Dd93OzIV3eMM0w3YWWG7kwDZNs4lZ2qOQxAll+1ehCO1XmjSvw8zcmGUG\ng0EJAsMisjDFJYQZ16Dfz4xU1X1XD8cGTEP528D7/6Qo1wrLdeahygWjwzbDdhZokm3uYTODtKmS\n7PcYzTU3V3F9p7lv0BbLvF56R9L1f1hGMUzT4/NA8clpSlLlcuCNkmnh5XY0uN0iemVttFMaxhm2\ns0B1JKXpHBg2MzbS73H2ymgv8/p67SxzqiV5rczcKG7hYTQs4h5uFzjvIenxeKRPp9nb9TGIEbNb\n0OB2i2DWxsyERrpu2EjOUlkoFJKFoJybajab2N/fP1FIArztRV4VvUqTzg3i5nJQyvzp2nGaCfN1\nw8Hs87pjUKo+6PC5cjk4jZj7bW2/6dzsE00ZGGfWRrWaGwIb8OYDOzY2Jo+FBrLhcFjcLw4ODuS/\nXnesV5m5AW8zxpNKeVRzMpDRWZ8ZzrC9VoPshjsJy7LQbDZvpZrvfcMsDnCnhddwfVKUK8N05Hif\nC0bfFz6fD5FIRMYbDg4O0Gg0ZODV3BZ9lThLk/0yNzOIsfw3bJkb8NYh5bwBbnR09Ex7BJXLxWnh\n5aYsToPbLYBzX5QEv88Fo+8Dc/MBRRosX1JkUqvVrmX84bTSpNORBIAoC4e1J8qtAefNvtxSPbjJ\nUMHq8Xhck8XdTGmccib4RuVW5Jso9b8I7LU5gwMFG6Ojo9eWxfJ39lNtUmJPizDTTHhYA4C51PSm\nDP4r70IHGiqPubD3pt4ED+enRblU6FAwOjp66wIbgFNNfYHrVSE6s7demwG4fJQiGW4JH1ZM13/l\nZsP33MjIyI3O4jS4uRyqBG/rdnIuwhymoN5r5o3/e3R0FJlMRmyugLczZcOauQEXHw1Qhg9aeHFJ\n8U0T/Qzvp0W5FAKBAGKx2K0MbMCbklk0Gh2qrIcqSGY5vYyQQ6EQfD6fzCFeZGD6uriouEQZPjj8\nfRONmG/niXfLGFYhwnUwrKVYliZ509FLoebz+eTrbsoNit/vR6vVOnVPoHKzYM+aYzQ3YZ3OcF+d\norgUn88nKs5BvjadTg9lkHZiiksUd+E0Yh7211iDm6K8J5iVuS3D4dC8ikvcyU2x8NLgpijvCQ5s\nOwe5bzqUlN+k/oxyNpwWXs4VSMOABjdFeU+wF0pFp5tgf/CmysiVwWAWd3x8PHTvYQ1uivIeOW1L\n902GowHDdugplwstvIZNYDJcV6MotwwKS9wYAHotNVWU60KDm6K8Rzjz5tYAcNGlpopyXjS4Kcp7\nxu/334gZtvNAccmwy8YV96HBTVHeM36/39WGw7QSU3GJcp1ocFMU5crx+/1amlSuFXfWQhRFGSoo\nLlGU60IzN0UZQtyonlSU60SDm6IMGW6z41KU94EGN0VRFMV1aHBTFEVRXIcGN0VRFMV1aHBTFEVR\nXIcGN0VRFMV1aHBTFEVRXIcGN0VRFMV1aHBTFEVRXIcGN0VRFMV1aHBTFEVRXIcGN0VRFMV1aHBT\nFEVRXIcGN0VRFMV1aHBTFEVRXIcGN0UZQnSfm6JcDA1uiqIoiuvQ4KYoQ4YuK1WUi6PBTVEURXEd\nGtwURVEU16HBTVEURXEdGtwURVEU16HBTVEURXEdGtwURVEU16HBTVEURXEdGtwURVEU16HBTVEU\nRXEdGtwURVEU16HBTVEURXEdGtwURVEU16HBTVEURXEdGtwURVEU16HBTVGGEF1WqigXw3PGD5F+\n4hTlijk6OoLX69W9borSm4E+GBrcFEVRlJvEQMFNy5KKoiiK69DgpiiKorgODW6KoiiK69DgpiiK\norgODW6KoiiK69DgpiiKorgODW6KoiiK69DgpiiKorgODW6KoiiK69DgpiiKorgODW6KoiiK69Dg\npiiKorgODW6KoiiK69DgpiiKorgODW6KoiiK69DgpiiKorgODW6KoiiK69DgpiiKorgODW6KoiiK\n69DgpiiKorgODW6KoiiK69DgpiiKorgODW6KoiiK69DgpiiKorgODW6KoiiK69DgpiiKorgODW6K\noiiK69DgpiiKorgODW6KoiiK69DgpiiKorgODW6KoiiK6/Cd8es9V3IViqIoinKJaOamKIqiuA4N\nboqiKIrr0OCmKIqiuA4NboqiKIrr0OCmKIqiuA4NboqiKIrr0OCmKIqiuA4NboqiKIrr0OCmKIqi\nuA4NboqiKIrr+H8mh8NiN7lOsQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119f876a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pos=nx.spring_layout(G)\n",
    "nx.draw_networkx_nodes(G, pos, alpha=0)\n",
    "nx.draw_networkx_edges(\n",
    "    G, pos, edge_color=\"#333333\", alpha=0.05)\n",
    "# Zoom in for a better view\n",
    "plt.xlim([-0.1,0.1]); plt.ylim([-0.1, 0.1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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yBQMFzV6AdXNmGrOzNzF0+hzcHk/peLGqW4RDYgEWEREdCAaKerVRVff83Cymr13FwNBp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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12081edd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Count co-occurrences for characters only\n",
    "characters = [\n",
    "    'creature', 'monster', 'victor', 'elizabeth',\n",
    "    'william', 'henry', 'justine']\n",
    "G_focus = G.subgraph(characters)\n",
    "# Create list of edge counts\n",
    "counts = [G_focus.edges[e]['count'] for e in G_focus.edges]\n",
    "\n",
    "# Create spring layout\n",
    "pos = nx.spring_layout(G_focus)\n",
    "\n",
    "# Create figure and draw nodes\n",
    "plt.figure()\n",
    "nx.draw_networkx_nodes(G_focus, pos)\n",
    "# Draw edges\n",
    "nx.draw_networkx_edges(\n",
    "    G_focus, pos, width=8,\n",
    "    edge_color=counts, edge_cmap=plt.cm.Blues, alpha=0.5)\n",
    "nx.draw_networkx_edges(G_focus, pos, edge_color=\"#7f7f7f\",alpha=0.5)\n",
    "# Draw labels\n",
    "nx.draw_networkx_labels(G_focus, pos)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
